Python Developer Jobs in Egypt

Senior Python Engineer – Multi-Agent AI (AWS, Lang Graph)<br>About the Role We are looking for a Senior Python Engineer to design and build enterprise-grade multi-agent AI systems on AWS. In this role, you will architect and develop intelligent agent solutions using Lang Graph, Lang Chain, and AWS Bedrock Agent Core Runtime, focusing on scalable orchestration, stateful workflow execution, human-in-the-loop (HITL) processes, and distributed agent collaboration. You will work closely with architects, platform engineers, and product teams to deliver production-ready AI solutions that are reliable, scalable, and aligned with enterprise engineering standards.<br>Project Overview Our customer is a multinational corporation with more than a century of history and operations in over 180 countries. One of its key strategic initiatives is the development and adoption of a new generation of Reduced-Risk Products (RRPs), targeting more than one billion consumers worldwide. Intellia partners with the customer to engineer a comprehensive software ecosystem supporting innovative IoT products, digital commerce, and enterprise platforms. The engineering organization develops core platform components powering best-in-class e Commerce, Digital Marketing, and IoT solutions. As a Senior Python Engineer, you will join the Core Architecture Team, contributing to the design and implementation of a modern Digital Engineering Enterprise Platform. The platform consists of services and applications that accelerate software delivery by providing engineering teams with reusable technologies, standardized development practices, compliance controls, and operational capabilities across more than 700 enterprise applications.<br>Responsibilities Design, develop, and maintain enterprise-grade multi-agent AI applications using Python, Lang Graph, and Lang Chain. Build scalable agent workflows leveraging AWS Bedrock Agent Core Runtime. Implement advanced orchestration patterns, including supervisor/worker, fan-out/fan-in, and collaborative multi-agent architectures. Design stateful workflow execution using Lang Graph checkpointing, recovery, and persistence mechanisms. Develop resilient, fault-tolerant, and idempotent execution strategies for long-running AI workflows. Integrate Human-in-the-Loop (HITL) approval processes into business-critical agent workflows. Enable agent delegation and collaboration through Agent Gateway and Agent-to-Agent (A2A) communication. Implement memory, context management, and persistence strategies for AI agents. Optimize workflow scalability, reliability, observability, and performance within distributed cloud environments. Collaborate with platform, security, Dev Ops, and product teams to deliver production-ready AI solutions. Define engineering standards, testing strategies, and operational best practices for agent-based applications. Support deployment, monitoring, troubleshooting, and continuous improvement of AI solutions running on AWS. Requirements Bachelor's degree in computer science, Software Engineering, or a related field.5+ years of professional Python software engineering experience. Hands-on experience building multi-step agent workflows with Lang Graph. Strong experience with Lang Chain. Experience with AWS Bedrock Agent Core Runtime. Solid understanding of multi-agent orchestration patterns, including supervisor/worker and fan-out/fan-in architectures. Experience implementing Lang Graph checkpointing and state management. Knowledge of Human-in-the-Loop (HITL) workflow design. Experience with Agent-to-Agent (A2A) delegation through Agent Gateway. Experience with workflow orchestration platforms such as Temporal, Apache Airflow, or similar. Strong understanding of distributed systems concepts, including checkpointing, idempotency, fault tolerance, and workflow recovery. Experience building scalable, cloud-native applications on AWS. Strong problem-solving, communication, and collaboration skills.<br>Nice to Have Experience evaluating AWS Agent Core Runtime maturity and enterprise adoption. Hands-on experience with AWS Bedrock Memory API. Experience integrating enterprise approval workflows into Human-in-the-Loop AI systems. Experience with AI observability, monitoring, and production operations. Familiarity with CI/CD pipelines and Infrastructure as Code in AWS environments.<br>Why Join UsWork on enterprise-scale AI initiatives for a global industry leader. Design and build next-generation multi-agent AI systems using cutting-edge AWS technologies. Influence architecture decisions and engineering best practices across large-scale platforms. Collaborate with highly experienced architecture and engineering teams on innovative cloud-native solutions. Opportunity to shape the future of enterprise AI orchestration in production environments.

Senior Backend developer with Python<br>Proxify – uncovering the world's hidden talent since 2018Proxify connects talented tech professionals like you with long-term remote opportunities at top companies in the USA, Sweden, Germany, the Netherlands, and beyond. We believe that talent has no borders and value skills and experience above all else. Since our launch, Proxify has connected over 5,000 talented developers land their dream remote job, at over 1,200 companies.<br>The Role We are looking for Senior Backend developer with Python experience to join our fast-growing Network. You will play a key role in building modern web applications, collaborating with cross-functional teams, and helping shape the future of user experiences across various platforms. This is a long-term, full-time remote engagement. You'll have the opportunity to work with cutting-edge technologies and deliver impactful features in real products.<br>Main responsibilities Develop and maintain backend applications using Python and frameworks such as Django, Flask, or Fast APIDesign, implement, and maintain RESTful APIsParticipate in the entire software development lifecycle (SDLC), from design and architecture to deployment and maintenance Write clean, scalable, and well-documented backend code Collaborate with frontend developers, product managers, and other stakeholders Work with relational and/or non-relational databases Implement and maintain testing strategies to ensure code quality and reliability Support deployment processes and contribute to backend infrastructure when needed Troubleshoot, debug, and optimize backend systems<br>Requirements5+ years of Commercial experience with Python in web development Strong experience with at least one backend framework: Django, Flask, or Fast APIProven experience working on backend systems (not only scripting or data tasks) Experience participating in the full SDLC, including architecture and technical decision-making Solid understanding of API design and backend best practices Experience with relational databases (e.g. Postgre SQL, MySQL) Hands-on experience with testing, such as: Unit testing (e.g. Pytest) Basic integration testing and mocking Familiarity with Git-based version control Ability to work independently in a remote, distributed team<br>Nice to have Hands-on experience with infrastructure, microservices, etc Mentoring software developers in gaining experience and assuming development responsibilities Basic knowledge of frontend<br>Why work remotely with Proxify? Accelerate your tech career Discover exclusive long-term remote engagements at the world's most interesting product companies. Find your dream role Skip the typical recruitment roadblocks and biases with personally matched engagements. Gain more freedom All Proxify roles are 100% remote, no more long commutes and being restricted to the local job market. Speedy application You only need to apply to Proxify once, and, if successful, we'll recommend you to jobs matching your profile. No more endless edits of your resume!

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Architecture &amp; Design Collaborate with senior engineers and the Backend Lead to design scalable, maintainable, and modular backend systems for SaaS products. Contribute to the design of APIs, databases, and backend services while considering performance, security, and maintainability. Participate in technical discussions regarding frameworks, tools, and architectural improvements. Development &amp; Implementation Develop and maintain production-grade server-side applications using technologies such as Python, Django Build and maintain RESTful APIs, business logic, and integrations with internal and external systems. Implement background jobs, scheduled tasks, and event-driven processes where required. Troubleshoot and resolve application issues, bugs, and performance concerns. Quality, Testing &amp; Code Review Write and maintain unit, integration, and automated tests to ensure application reliability and code quality. Participate in peer code reviews and incorporate feedback to improve development standards. Follow established coding guidelines, documentation practices, and development processes. Performance &amp; Optimization Assist in monitoring application performance and identifying areas for improvement. Implement basic optimization techniques, including database query tuning, caching, and efficient resource utilization. Work with DevOps and senior engineers to support deployments and maintain production environments. Security &amp; Reliability Follow secure coding practices and company security standards. Implement authentication, authorization, validation, and error-handling mechanisms. Support monitoring, logging, and troubleshooting efforts to maintain system reliability and availability. Collaboration &amp; Product Engagement Work closely with Product Owners, Frontend Developers, QA Engineers, and UX/UI Designers to deliver product features. Participate in sprint planning, estimation, and technical discussions. Communicate technical challenges, risks, and progress to relevant stakeholders. Documentation &amp; Knowledge Sharing Document APIs, technical implementations, and development processes. Share knowledge with team members and contribute to internal technical discussions. Stay updated on backend development trends, tools, and best practices to continuously improve technical skills.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>Bachelor s degree in Computer Science, Software Engineering, or related field (or equivalent experience). 3+ years of professional backend development experience in SaaS / enterprise software. Proven experience building and maintaining large-scale, distributed backend systems. Technical &amp; Soft Skills Strong proficiency in at least one backend language (e.g., Python, Django) Deep experience with relational databases (e.g., PostgreSQL, MySQL) and NoSQL databases (e.g., MongoDB, Redis). Knowledge of containerization (Docker), container orchestration (e.g., Kubernetes), and cloud infrastructure (AWS, Azure, or GCP). Experience designing and building RESTful APIs or GraphQL services. Strong problem-solving skills, with a logical and structured approach to design and architecture. Excellent communication skills - able to convey technical ideas to non-technical stakeholders. High attention to detail and commitment to code quality, testing, and documentation. Knowledge Brokers and Messaging Queues ( RabbitMQ)</p><p></p></section>

About the role We're hiring a Backend / Automation Engineer to build and scale the automation layer behind one of our flagship data products. This is a hands-on engineering role centered on mobile automation and automation testing — building reliable systems that interact with mobile applications programmatically to collect, process, and analyze data at scale. If you enjoy building automation that runs unattended and doesn't break at 3am, this is for you. What you'll do Design, build, and maintain mobile automation systems that drive real mobile apps programmatically Apply automation testing practices to keep these systems stable, repeatable, and reliable Write robust backend services in Python (and/or Node.js) that orchestrate and schedule automation flows Perform behavior analysis — studying app and user interaction patterns to design smarter, more resilient automation Engineer for reliability: explicit waits, retry/backoff logic, idempotency, and graceful failure handling for unattended runs Scale automation across multiple devices and parallel sessions Integrate automation with our AI-driven decision layer Own your work end-to-end — from design to deployment (Docker, CI/CD) Must-have requirements (please only apply if you meet these)2+ years building production backend services in Python or Node.js Hands-on, demonstrable experience automating mobile apps using any mobile automation framework — you should be able to show us something real you've built Solid automation testing skills (writing, structuring, and maintaining automated test suites) Strong understanding of concurrency, error handling, and writing code that runs reliably without supervision Comfortable with REST APIs, databases (Postgre SQL/Mongo DB), Git, and Docker Able to communicate clearly in English (Arabic is a strong plus) Nice to have Behavior analysis experience — interaction patterns, event tracking, or anomaly detection Experience with AI agents, LLM tool calling, or autonomous workflows Large-scale data extraction or processing pipelines Background in RPA or unattended automation systems Hiring process Short technical assessment (~25 min) Practical automation task + team discussion<br>???? Apply to info@projecx.io with your CV and a link or short description of a real mobile automation project you've built (Git Hub, demo, or write-up).

Tech Lead Engineer – Model Context Protocol (MCP) Integration<br>About the Role We are looking for a Tech Lead Engineer to drive the design and implementation of enterprise-grade integrations based on the Model Context Protocol (MCP). This role combines Python backend engineering, protocol design, API governance, authentication, observability, and AI platform integration to enable secure and scalable communication between AI agents, tools, and enterprise services. As a technical leader, you will define architecture standards, guide implementation across engineering teams, and lead the adoption of emerging agent communication protocols in a cloud-native environment. The ideal candidate has deep experience building distributed systems, designing APIs and contracts, implementing secure integrations, and mentoring engineers.<br>Project Overview Our customer is a multinational corporation with more than a century of history and operations in over 180 countries. One of its key strategic initiatives is the development and adoption of a new generation of Reduced-Risk Products (RRPs), targeting more than one billion consumers worldwide. Intellia partners with the customer to engineer a comprehensive software ecosystem supporting innovative IoT products, digital commerce, and enterprise platforms. Our engineering teams develop core platform components powering best-in-class e Commerce, Digital Marketing, and IoT solutions. As a Tech Lead Engineer, you will become part of the Core Architecture Team, contributing to the design and implementation of a modern Digital Engineering Enterprise Platform. The platform provides engineering teams with reusable services, cloud technologies, governance standards, and operational best practices that accelerate software delivery across more than 700 enterprise applications.<br>Responsibilities Lead the architecture, design, and implementation of MCP-based services and integrations using Python, Fast API, and Fast MCP. Develop and maintain MCP servers, tool adapters, and protocol-compliant integration layers. Design and enforce Canonical Contracts, Open API specifications, and API governance standards. Build secure, scalable integrations with AWS Agent Core Gateway and related AI platform services. Implement enterprise authentication and authorization using OAuth 2.0, JWT, and AWS Signature Version 4 (Sig V4). Design asynchronous APIs and service-to-service communication patterns supporting AI agent ecosystems. Establish observability standards and implement Open Telemetry instrumentation for protocol interactions and service monitoring. Collaborate with AI platform teams to enable agent-to-tool and agent-to-agent communication capabilities. Define best practices for protocol versioning, backward compatibility, testing, and governance. Review architecture, design decisions, and implementation approaches across multiple engineering teams. Support Architecture Review Board (ARB), Information Security (Info Sec), and compliance processes. Mentor engineers and provide technical leadership for enterprise MCP adoption initiatives. Produce technical documentation, implementation guides, reference architectures, and engineering standards.<br>Requirements Bachelor's degree in computer science, Software Engineering, or a related field.5+ years of professional Python backend engineering experience. Hands-on experience implementing Model Context Protocol (MCP) servers or comparable protocol-based integration frameworks. Strong experience developing RESTful and asynchronous APIs using Fast API or similar Python frameworks. Experience building applications with Fast MCP or equivalent MCP tooling. Experience integrating with AWS Agent Core Gateway or similar AI platform integration services. Strong knowledge of API design, Canonical Contracts, and Open API specification development. Experience implementing enterprise authentication and authorization using OAuth 2.0, JWT, and AWS Sig V4. Experience implementing observability using Open Telemetry or similar monitoring frameworks. Strong understanding of distributed systems, cloud-native architecture, and service integration patterns. Excellent leadership, mentoring, communication, and stakeholder management skills. Nice to Have Experience with AWS Agent Core Gateway or other enterprise AI integration platforms. Experience with AI agent frameworks such as Lang Graph, Strands, or similar technologies. Experience supporting enterprise governance processes, including Architecture Review Boards (ARB) and Information Security (Info Sec) reviews. Experience with CI/CD pipelines, Infrastructure as Code (IaC), and cloud-native deployment practices. Familiarity with AI agent ecosystems, tool orchestration, and emerging agent communication standards.<br>Why Join UsLead the adoption of the Model Context Protocol (MCP) across enterprise-scale AI platforms. Design and build secure, scalable integrations for next-generation AI agent ecosystems. Work with cutting-edge AWS Agent Core technologies, cloud-native architectures, and modern API standards. Collaborate with experienced AI, platform, cloud, and security engineering teams on global-scale initiatives. Shape engineering standards, protocol governance, and the future of enterprise AI integrations.

Security Test Engineer<br>About the Role We are looking for a Security Test Engineer to validate the security, reliability, and correctness of authorization and policy enforcement systems used in AI agent platforms. This role combines security testing, automated test development, API security validation, and policy verification to ensure secure, compliant, and resilient platform services. As part of the Core Architecture Team, you will work closely with software engineers, architects, and security specialists to design and execute security-focused test strategies, build automated test suites with Python, and validate authorization mechanisms that protect enterprise-scale cloud platforms. This is an exciting opportunity to contribute to next-generation AI platforms while advancing modern application security and quality engineering practices.<br>Project Overview Our customer is a multinational corporation with more than a century of history and operations in over 180 countries. As part of its digital transformation journey, the company is investing heavily in Reduced-Risk Products (RRPs), targeting more than one billion consumers worldwide. The enterprise platform supports more than 700 applications across Digital Commerce, Digital Marketing, IoT, and Enterprise Services. Intellias partners with the customer to engineer a comprehensive software ecosystem for innovative IoT products and digital platforms. As a member of the Core Architecture Team, you will help build and secure an enterprise engineering platform that accelerates software delivery by providing reusable services, security controls, governance, and engineering best practices across multiple development teams.<br>Key Responsibilities Design and execute functional and security testing strategies for policy-driven authorization systems. Develop and maintain automated security and policy validation test suites using Python and pytest. Validate permit/deny decisions, policy precedence, parameter-level access controls, and authorization logic. Verify policy behavior during transitions between LOG_ONLY and ENFORCE modes. Perform API security testing aligned with the OWASP API Top 10. Conduct penetration testing, threat modeling, and security assessments for platform services and AI agent workflows. Design and execute test scenarios covering prompt injection, agent identity spoofing, policy bypass attempts, and other Agentic AI attack vectors. Validate audit logging, traceability, and security event generation for authorization decisions. Verify Agent-to-Agent (A2A) policy enforcement across distributed workflows. Collaborate with software engineering and security teams to identify vulnerabilities and strengthen the platform's security posture. Maintain security test documentation, test reports, and compliance evidence.<br>Required Qualifications Education Bachelor's degree in computer science, Software Engineering, Information Security, or a related technical field. Technical Skills Security testing, including penetration testing and threat modeling. Python test automation using pytest. Functional and security test design. API security testing based on the OWASP API Top 10. Agentic AI threat modeling, including:Prompt injection Policy bypass Agent identity spoofing Authorization and policy enforcement testing. Agent-to-Agent (A2A) policy enforcement validation. Audit log validation and security event verification. Policy validation, including:Permit/Deny correctness Policy precedence Parameter-level conditions LOG_ONLY to ENFORCE mode validation Experience4+ years of experience in Quality Assurance, Security Testing, or Application Security. Experience implementing automated security test suites. Hands-on experience with API security testing and vulnerability validation. Experience designing functional and security test strategies. Strong understanding of secure software development practices.<br>Nice to Have AWS security testing experience. Experience with Cedar policy testing tools. Regulatory compliance testing (GDPR, SOC 2). Experience testing cloud-native applications and distributed systems. Familiarity with AI security, authorization frameworks, and policy engines.<br>Why Join Us? Work on enterprise-scale platforms supporting more than 700 applications used across a global organization. Help secure next-generation AI agent platforms and modern authorization systems. Collaborate with experienced architects, software engineers, and security specialists on innovative cloud-native solutions. Contribute to the development of security standards and best practices that impact engineering teams worldwide. Expand your expertise in AI security, policy validation, cloud-native application security, and automated testing while working on cutting-edge technologies.

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p><b>Connect to your career at Deloitte</b></p><p>Deloitte, established globally in 1845, is the world s largest and leading professional services firm, providing Audit &amp; Assurance, Tax &amp; Legal and Consulting and related services to public and private clients spanning multiple industries. Present in more than 150 countries, Deloitte is distinct in its ability to help clients solve their most complex problems, from strategy to implementation.</p><p>Deloitte innovation hub (DIH) is a strategic initiative established to support our ambition to become the leading business transformation partner of choice for our clients and to expand and scale our delivery footprint across EMEA. With access to a scaled, diverse, highly skilled, motivated, and engaged workforce, DIH is delivering complex technical solutions for clients most complex business problems, across portfolios that include Strategy &amp; Transactions , Customer , Engineering, AI &amp; Data, Enterprise, Technology &amp; Performance and Cyber . DIH is aiming to become the destination for top talents in Egypt for a long, exciting career. We invest in outstanding people of diverse talents and backgrounds and empower them to achieve more than they could elsewhere. Our work combines advice with action and integrity. We believe that when our clients and society are stronger, so are we. Our organization has grown in scale and diversity, providing services across the region, with our shared culture remaining the same. We aim to help clients realize their ambitions, make a positive difference in society, and maximize the success of our people. This drive fuels the commitment and humanity that run deep through our every action.</p><p><b>Connect to your opportunity</b></p><p>7 - 10 years of experience in the same field.</p><p>End-to-End Development: Undertake end-to-end microservice development, from requirement analysis and design to implementation and deployment.</p><p>Technology Stack Mastery: Proficiency in back-end frameworks / Languages (Python)</p><p>Architecture Design: Design scalable and maintainable application architectures, ensuring efficient implementation of architectural patterns.</p><p>API Development: Develop robust and efficient APIs to enable seamless communication between different parts of the application and potentially with third-party services.</p><p>Version Control and Collaboration: Utilize version control systems like Git for collaborative development, ensuring code quality and smooth integration of features from multiple team members.</p><p>Agile development methods: Follow Test Drive Development as a professional discipline to create software. Comfortable doing pair programming.</p><p>Testing: Working knowledge of modern testing tools.</p><p>DevOps: Practical experience in Continuous Integration/Continuous Delivery.</p><p>Security Considerations: Implement security best practices, including data encryption, user authentication, and authorization mechanisms, to safeguard the application from potential threats.</p><p>Performance Optimization: Analyse and optimize application performance, identifying bottlenecks and implementing strategies to enhance speed and responsiveness.</p><p>Client Interaction: Collaborate closely with clients and stakeholders to gather requirements, provide updates, and address feedback, demonstrating strong communication and interpersonal skills.</p><p>Connect to your skills and professional experience</p><p>Back-End Development: Experience with at least one back-end language/framework combination, like Python, Django to build server-side logic and APIs.</p><p>Containers: Experience with Docker and Kubernetes.</p><p>Version Control: Competence in using Git for version control, branching, and collaborating effectively with other team members on codebases.</p><p>API Development: Ability to create and document APIs for communication between different parts of the application or external services.</p><p>Basic DevOps Skills: Experience with basic deployment practices.</p><p>Cloud experience: Experience with GCP.</p><p>Debugging and Troubleshooting: Skill in identifying and resolving bugs, errors, and performance issues across the entire application stack.</p><p>Continuous Learning: Demonstrated commitment to staying updated with industry trends and learning new technologies through online courses, coding communities, and self-driven projects.</p><p>Connect to your service line - Technology and Transformation</p><p>Distinctive thinking, deep expertise, and collaborative working. That s what connects us. That s what makes us Deloitte. If you want to help solve some of the biggest challenges around, join us. Together, we ll make an impact that matters.</p><p>Connect to your Industry. What attracted me to Deloitte were the endless opportunities and the collective experience of other like-minded individuals. Deloitte s clients include many of the world s largest organisations; I wanted to be part of a team that made a difference that I could be proud of. -Dan, Technolgy &amp; Transformation</p><p>Our commitment to you</p><p>Making an impact is more than just what we do: it s why we re here. So we work hard to create an environment where you can experience a purpose you believe in, the freedom to be you, and the capacity to go further than ever before. We want you. The true you. Your own strengths, perspective and personality. So we re nurturing a culture where everyone belongs, feels supported and heard, and is empowered to make a valuable, personal contribution. You can be sure we ll take your wellbeing seriously, too. Because it s only when you re comfortable and at your best that you can make the kind of impact you, and we, live for. Your expertise is our capability, so we ll make sure it never stops growing. Whether it s from the complex work you do, or the people you collaborate with, you ll learn every day. Through world-class development, you ll gain invaluable technical and personal skills. Whatever your level, you ll learn how to lead.</p><p>Connect to your next step</p><p>A career at Deloitte is an opportunity to develop in any direction you choose. Join us and you ll experience a purpose you can believe in and an impact you can see. You ll be free to bring your true self to work every day. And you ll never stop growing, whatever your level.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>7 - 10 years of experience in the same field.</p><p>End-to-End Development: Undertake end-to-end microservice development, from requirement analysis and design to implementation and deployment.</p><p>Technology Stack Mastery: Proficiency in back-end frameworks / Languages (Python)</p><p>Architecture Design: Design scalable and maintainable application architectures, ensuring efficient implementation of architectural patterns.</p><p>API Development: Develop robust and efficient APIs to enable seamless communication between different parts of the application and potentially with third-party services.</p><p>Version Control and Collaboration: Utilize version control systems like Git for collaborative development, ensuring code quality and smooth integration of features from multiple team members.</p><p>Agile development methods: Follow Test Drive Development as a professional discipline to create software. Comfortable doing pair programming.</p><p>Testing: Working knowledge of modern testing tools.</p><p>DevOps: Practical experience in Continuous Integration/Continuous Delivery.</p><p>Security Considerations: Implement security best practices, including data encryption, user authentication, and authorization mechanisms, to safeguard the application from potential threats.</p><p>Performance Optimization: Analyse and optimize application performance, identifying bottlenecks and implementing strategies to enhance speed and responsiveness.</p><p>Client Interaction: Collaborate closely with clients and stakeholders to gather requirements, provide updates, and address feedback, demonstrating strong communication and interpersonal skills.</p><p>Back-End Development: Experience with at least one back-end language/framework combination, like Python, Django to build server-side logic and APIs.</p><p>Containers: Experience with Docker and Kubernetes.</p><p>Version Control: Competence in using Git for version control, branching, and collaborating effectively with other team members on codebases.</p><p>API Development: Ability to create and document APIs for communication between different parts of the application or external services.</p><p>Basic DevOps Skills: Experience with basic deployment practices.</p><p>Cloud experience: Experience with GCP.</p><p>Debugging and Troubleshooting: Skill in identifying and resolving bugs, errors, and performance issues across the entire application stack.</p><p>Continuous Learning: Demonstrated commitment to staying updated with industry trends and learning new technologies through online courses, coding communities, and self-driven projects.</p><p></p></section>

Please submit your CV in English and indicate your level of English proficiency.<br><br>Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment. What this opportunity involves:<br><br>We're building a dataset to evaluate AI coding agents - how well a model handles real-world developer tasks.<br><br>You'll create challenging tasks and evaluation criteria within realistic simulated environments:<br><br>Build realistic developer environments - a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history Design tasks from intermediate states of these environments - craft the prompt, define what "solved" means, and ensure the task is solvable by an AI agent Write tests that verify agent solutions - accept all valid approaches and reject incorrect ones, neither too strict nor too lenient Iterate on tasks and tests based on QA feedback - review agent solutions, analyze failures, and refine until the evaluation is fair and robust<br><br>What this is NOT:<br><br>Not data labeling Not prompt engineering Not writing code from scratch - the agent writes most of the code; you guide and evaluate<br><br>What we look for:<br><br>8+ years in software development Core stack: Python (Fast API), Java Script/Type Script (React), Docker, Postgres, Kafka, Redis Experience writing tests (functional, integration) English proficiency - B2+<br><br>Why this is hard:<br><br>Frontier models are already good at coding. Creating a task that genuinely challenges the best models is non-trivial. You need to deeply understand where models fail and what scenarios reveal the difference between a good and a bad solution. Tasks have many valid solutions - writing tests that accept all correct solutions and reject incorrect ones is harder than it sounds.<br><br>How It Works<br><br>Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Effort estimate<br><br>Tasks for this project are estimated to take 30 hours to complete, depending on complexity. This is an estimate and not a schedule requirement; you choose when and how to work. Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.<br><br>Compensation:<br><br>Up to $150/hr equivalent, depending on level and pace. Tasks are estimated at :30 hours each; you set your own schedule.

Tech Lead Engineer – AI Registry & Discovery Platform (AWS Agent Core) About the Role<br>We are looking for a Tech Lead Engineer to design and lead the implementation of an enterprise-grade AI Registry and Discovery Platform for AI agents, tools, and MCP services. This role focuses on service registration, metadata governance, semantic discovery, identity mapping, lifecycle management, and integration with the AWS Agent Core ecosystem. As a technical leader, you will drive the architecture and development of a scalable platform that enables secure discovery, governance, and lifecycle management of AI capabilities across the enterprise. You will collaborate with platform, security, and AI engineering teams to establish engineering standards, governance processes, and best practices for enterprise AI platforms. The ideal candidate has strong platform engineering expertise, experience building large-scale registry or catalog systems, and a deep understanding of cloud-native architectures, API security, metadata management, and distributed systems.<br>Project Overview Our customer is a multinational corporation with more than a century of history and operations in over 180 countries. One of its key strategic initiatives is the development and adoption of a new generation of Reduced-Risk Products (RRPs), targeting more than one billion consumers worldwide. Intellia partners with the customer to engineer a comprehensive software ecosystem supporting innovative IoT products, digital commerce, and enterprise platforms. Our engineering teams develop core platform components powering best-in-class e Commerce, Digital Marketing, and IoT solutions. As a Tech Lead Engineer, you will become part of the Core Architecture Team, contributing to the design and implementation of a modern Digital Engineering Enterprise Platform. The platform provides engineering teams with reusable services, cloud technologies, governance standards, and operational best practices that accelerate software delivery across more than 700 enterprise applications.<br>Responsibilities Lead the architecture, design, and implementation of an enterprise AI Registry and Discovery Platform. Design and maintain metadata schemas for MCP servers, AI tools, and agent capabilities aligned with Canonical Contract standards. Build scalable backend services using Python, Fast API, Dynamo DB, and AWS-native technologies. Develop registration, discovery, approval, certification, and lifecycle management workflows for AI agents and MCP services. Design semantic discovery capabilities using vector search, embeddings, and relevance-ranking techniques. Integrate enterprise identity systems and implement Entra Agent ID mapping across AI ecosystems. Implement secure authentication and authorization using OAuth 2.0, JWT, and enterprise identity providers. Design governance processes for onboarding, approval, certification, versioning, deprecation, and retirement of AI services. Develop APIs supporting registry operations, metadata management, discovery services, and governance workflows. Implement secure credential and secret management using Hashi Corp Vault and cloud-native security controls. Design observability, auditing, compliance, and operational monitoring capabilities across the registry platform. Collaborate with AI, platform, cloud, and security teams to establish registry standards, governance policies, and engineering best practices. Mentor engineers, provide technical leadership, and support architectural decision-making across the platform. Produce architecture documentation, implementation standards, and technical governance guidelines.<br>Requirements Bachelor's degree in computer science, Software Engineering, or a related field.5+ years of backend or platform engineering experience. Experience designing and building enterprise-scale registry, catalog, metadata management, or discovery platforms. Strong Python development experience, including Fast API and backend service development. Experience with AWS services, including AWS Agent Core Registry, Gateway, Dynamo DB, and related cloud-native technologies. Experience designing metadata schemas and service registration models. Knowledge of semantic search technologies, vector databases, embeddings, and AI-powered discovery. Experience implementing secure API authentication and authorization using OAuth 2.0 and JWT. Experience integrating governance workflows, approval processes, and lifecycle management into enterprise platforms. Experience integrating enterprise identity providers and identity mapping solutions. Strong understanding of cloud-native architecture, distributed systems, API design, and platform engineering. Excellent leadership, communication, mentoring, and stakeholder management skills.<br>Nice to Have Hands-on experience with AWS Agent Core Registry and Gateway. Experience with vector databases such as pgvector, Open Search, or similar semantic search technologies. Experience with Hashi Corp Vault or enterprise secrets management platforms. Familiarity with MCP (Model Context Protocol) standards and Canonical Contract schema design. Experience implementing observability and distributed tracing solutions. Knowledge of CI/CD pipelines, Infrastructure as Code (IaC), and cloud security best practices. Why Join UsLead the development of an enterprise AI Registry and Discovery Platform supporting next-generation AI applications. Work with cutting-edge AWS Agent Core technologies, semantic search, and cloud-native architectures. Drive engineering standards, governance, and technical strategy for enterprise AI platforms. Collaborate with experienced AI, platform, and cloud engineering teams on innovative global-scale solutions. Make a significant impact by shaping the future of AI service discovery, governance, and lifecycle management across a large enterprise.

We are seeking a software engineer with a passion for building and validating resilient distributed systems. At Canonical you can build a career and drive the success of those leveraging Canonical's Ubuntu and Juju to build multi-cloud deployable cloud applications.<br><br>We see quality engineering as a first class engineering practice and are looking for people who can bring deep engineering insights and a data driven approach to test automation, reporting and data analytics.<br><br>The Distributed Systems testing team at Canonical is responsible for ensuring the high quality of Canonical's Cloud solutions based on Juju, Terraform, Open Stack, Kubernetes when deployed under highly diverse conditions, from bare metal in customer data centers to public clouds like AWS, GCE, Azure.<br><br>As a software engineer you will have the opportunity to develop CI pipelines which power Canonical's cloud integration testing and reporting. Upcoming initiatives you will have the opportunity to contribute to include expanding deployment capabilities to new clouds and developing AI/ML pipelines for automatic analysis of test results. A successful candidate is interested in tackling these problems, as well as imagining and leading new initiatives within the team and across Canonical.<br><br>Location: this is a Globally remote role<br><br>What your day will look like<br><br>Create automated testing approaches and infrastructure for validating reliability, performance, and resilience of cloud orchestration tools and applications Enable engineering teams across Canonical to develop software with confidence by making distributed system testing tooling available across the company Enhance continuous integration pipelines for deploying and testing Canonical's cloud native products such as Kubeflow Deploy, manage, and debug highly distributed systems Monitor and report on automated testing efforts Collaborate daily with a globally distributed team <br><br>What we are looking for in you<br><br>Solid background in modern test processes and strategies Experience with Python or Go development Strong object oriented development skills Ability to develop and ship production grade modern web applications Working knowledge of continuous integration tools such as Jenkins, Circle CI, Git Hub CIKnowledge of networking technologies and fundamentals Solid understanding of Linux system architecture A capacity for complex abstract thinking Capability for 2-4 weeks of international travel travel per year<br><br>Additional skills that you might also bring<br><br>Collecting and analyzing large multidimensional datasets Operating data platforms: key-value stores, relational or document databases, event buses Work with cloud technologies such as Open Stack, Kubernetes, Terraform and AWSDeveloping AI/ML pipelines<br><br>What we offer you<br><br>We consider geographical location, experience, and performance in shaping compensation worldwide. We revisit compensation annually (and more often for graduates and associates) to ensure we recognise outstanding performance. In addition to base pay, we offer a performance-driven annual bonus. We provide all team members with additional benefits, which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally.<br><br>Distributed work environment with twice-yearly team sprints in person - we've been working remotely since 2004! Personal learning and development budget of USD 2,000 per year Annual compensation review Recognition rewards Annual holiday leave Maternity and paternity leave Employee Assistance Programme Opportunity to travel to new locations to meet colleagues from your team and others Priority Pass for travel and travel upgrades for long haul company events <br><br>Canonical believes a diverse workforce enhances our ability to deliver world class software and services which meet the world's computing needs. We are committed to ensuring equal employment opportunities to all qualified individuals. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

We are seeking a software engineer with a passion for building and validating resilient distributed systems. At Canonical you can build a career and drive the success of those leveraging Canonical's Ubuntu and Juju to build multi-cloud deployable cloud applications.<br><br>We see quality engineering as a first class engineering practice and are looking for people who can bring deep engineering insights and a data driven approach to test automation, reporting and data analytics.<br><br>The Distributed Systems testing team at Canonical is responsible for ensuring the high quality of Canonical's Cloud solutions based on Juju, Terraform, Open Stack, Kubernetes when deployed under highly diverse conditions, from bare metal in customer data centers to public clouds like AWS, GCE, Azure.<br><br>As a software engineer you will have the opportunity to develop CI pipelines which power Canonical's cloud integration testing and reporting. Upcoming initiatives you will have the opportunity to contribute to include expanding deployment capabilities to new clouds and developing AI/ML pipelines for automatic analysis of test results. A successful candidate is interested in tackling these problems, as well as imagining and leading new initiatives within the team and across Canonical.<br><br>Location: this is a Globally remote role<br><br>What your day will look like<br><br>Create automated testing approaches and infrastructure for validating reliability, performance, and resilience of cloud orchestration tools and applications Enable engineering teams across Canonical to develop software with confidence by making distributed system testing tooling available across the company Enhance continuous integration pipelines for deploying and testing Canonical's cloud native products such as Kubeflow Deploy, manage, and debug highly distributed systems Monitor and report on automated testing efforts Collaborate daily with a globally distributed team <br><br>What we are looking for in you<br><br>Solid background in modern test processes and strategies Experience with Python or Go development Strong object oriented development skills Ability to develop and ship production grade modern web applications Working knowledge of continuous integration tools such as Jenkins, Circle CI, Git Hub CIKnowledge of networking technologies and fundamentals Solid understanding of Linux system architecture A capacity for complex abstract thinking Capability for 2-4 weeks of international travel travel per year<br><br>Additional skills that you might also bring<br><br>Collecting and analyzing large multidimensional datasets Operating data platforms: key-value stores, relational or document databases, event buses Work with cloud technologies such as Open Stack, Kubernetes, Terraform and AWSDeveloping AI/ML pipelines<br><br>What we offer you<br><br>We consider geographical location, experience, and performance in shaping compensation worldwide. We revisit compensation annually (and more often for graduates and associates) to ensure we recognise outstanding performance. In addition to base pay, we offer a performance-driven annual bonus. We provide all team members with additional benefits, which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally.<br><br>Distributed work environment with twice-yearly team sprints in person - we've been working remotely since 2004! Personal learning and development budget of USD 2,000 per year Annual compensation review Recognition rewards Annual holiday leave Maternity and paternity leave Employee Assistance Programme Opportunity to travel to new locations to meet colleagues from your team and others Priority Pass for travel and travel upgrades for long haul company events <br><br>Canonical believes a diverse workforce enhances our ability to deliver world class software and services which meet the world's computing needs. We are committed to ensuring equal employment opportunities to all qualified individuals. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p><strong>Senior Full-Stack Software Engineer (7+ Years Experience)</strong></p><br><br><br><p>Location: El Sherouk, Cairo, Egypt (Full-time, On-site)</p><br><br><p>Employment Type: Full-time</p><br><br><br><br><p><strong>About Nexus Analytica</strong></p><br><br><br><p><strong>Nexus Analytica</strong> is a technology company specializing in advanced software solutions for the energy sector. We develop innovative digital platforms that help utilities, governments, and renewable energy developers monitor, analyze, forecast, and optimize energy systems. Our software platforms, provide state-of-the-art analytics and operational intelligence for renewable energy assets, battery energy storage systems (BESS), smart meters, electric vehicle charging infrastructure, and power grids. With a strong focus on innovation, data science, and software engineering, Nexus Analytica is driving the digital transformation of the global energy industry through scalable, secure, and intelligent solutions.</p><br><br><br><br><p><strong>About the Role</strong></p><br><br><br><p>We are looking for a highly skilled <strong>Senior Full-Stack Software Engineer</strong> with <strong>7+ years of professional software development experience</strong> to join our engineering team. You will be responsible for designing, developing, and maintaining scalable enterprise software solutions while contributing to architectural decisions, mentoring junior developers, and ensuring high software quality standards.</p><br><br><p>This role is ideal for someone who enjoys solving complex technical challenges, building modern web applications, and working across the entire software stack.</p><br><br><br><br><p><strong>Key Responsibilities</strong></p><br><br><br><ul><li>Design, develop, and maintain scalable web applications from frontend to backend.</li><li>Translate business requirements into robust technical solutions.</li><li>Design clean, maintainable, and reusable software architectures.</li><li>Develop RESTful APIs and backend services.</li><li>Build responsive, high-performance frontend applications.</li><li>Optimize application performance, security, scalability, and reliability.</li><li>Participate in architecture discussions and technical decision-making.</li><li>Perform code reviews and maintain coding standards.</li><li>Write unit, integration, and end-to-end tests.</li><li>Troubleshoot production issues and resolve complex bugs.</li><li>Collaborate closely with UI/UX designers, QA engineers, DevOps engineers, and product owners.</li><li>Mentor junior and mid-level developers.</li><li>Participate in Agile ceremonies including sprint planning, daily standups, retrospectives, and backlog refinement.</li><li>Contribute to CI/CD pipelines and deployment automation.</li><li>Produce technical documentation where necessary.</li></ul><br><br><p><strong>Minimum Qualifications</strong></p><br><br><br><ul><li>Bachelor's degree in Computer Science, Software Engineering, Computer Engineering, or a related field.</li><li><strong>7+ years</strong> of professional experience in software development.</li><li>Proven experience delivering enterprise-grade web applications.</li><li>Strong understanding of software engineering principles and design patterns.</li><li>Experience working in Agile/Scrum environments.</li><li>Excellent problem-solving and analytical skills.</li><li>Strong written and verbal English communication skills.</li></ul><br><br><p><strong>Required Technical Skills</strong></p><br><br><br><ul><li>Backend</li><li>Python</li><li>Django</li><li>Django REST Framework</li><li>REST API design</li><li>Authentication (OAuth2, JWT)</li><li>Microservices architecture</li><li>Celery</li><li>Background job processing</li></ul><br><br><p><strong>Frontend</strong></p><br><br><br><ul><li>React</li><li>TypeScript</li><li>JavaScript (ES6+)</li><li>HTML5</li><li>CSS3</li><li>Responsive web design</li><li>State management (Redux, Context API, Zustand, or similar)</li></ul><br><br><p><strong>Databases</strong></p><br><br><br><ul><li>PostgreSQL</li><li>MySQL</li><li>Query optimization</li><li>Database design</li><li>ORM experience</li></ul><br><br><p><strong>Cloud &amp; DevOps</strong></p><br><br><br><ul><li>Docker</li><li>Docker Compose</li><li>Kubernetes (preferred)</li><li>Azure, AWS, or Google Cloud</li><li>GitHub Actions / Azure DevOps</li><li>CI/CD pipelines</li><li>Linux</li></ul><br><br><p><strong>Version Control</strong></p><br><br><br><ul><li>Git</li><li>GitHub</li><li>Git Flow</li></ul><br><br><p><strong>Software Architecture</strong></p><br><br><br><ul><li>SOLID principles</li><li>Clean Architecture</li><li>Domain-Driven Design (preferred)</li><li>Design Patterns</li><li>Dependency Injection</li></ul><br><br><p><strong>Testing</strong></p><br><br><br><ul><li>Unit Testing</li><li>Integration Testing</li><li>End-to-End Testing</li><li>PyTest</li><li>Jest</li><li>React Testing Library</li></ul><br><br><p><strong>Security</strong></p><br><br><br><ul><li>OWASP Top 10</li><li>Secure coding practices</li><li>Authentication and authorization</li><li>API security</li><li>Data protection best practices</li></ul><br><br><p><strong>Preferred Qualifications</strong></p><br><br><br><ul><li>Experience with data visualization libraries.</li><li>Experience building analytics or monitoring platforms.</li><li>Experience with real-time systems using WebSockets.</li><li>Knowledge of message brokers (RabbitMQ, Kafka, Redis Streams).</li><li>Experience integrating third-party APIs.</li><li>Experience with GIS or mapping frameworks is an advantage.</li><li>Experience in energy, utilities, IoT, smart grid, or industrial software is a strong plus.</li></ul><br><br><p><strong>Soft Skills</strong></p><br><br><br><ul><li>Strong ownership mentality.</li><li>Excellent communication skills.</li><li>Ability to mentor and support junior engineers.</li><li>Strong attention to detail.</li><li>Excellent debugging and troubleshooting abilities.</li><li>Ability to work independently while collaborating effectively within a team.</li><li>Strong time management and prioritization skills.</li><li>Continuous learning mindset.</li></ul><br><br><p><strong>What Success Looks Like</strong></p><br><br><br><ul><li>Deliver high-quality software on schedule.</li><li>Produce clean, maintainable, and well-tested code.</li><li>Improve system performance, reliability, and scalability.</li><li>Contribute to technical architecture and engineering best practices.</li><li>Help grow the engineering team through mentoring and knowledge sharing.</li><li>Take ownership of features from design through deployment and maintenance.</li></ul><br><br><p><strong>Nice-to-Have Experience</strong></p><br><br><br><ul><li>Azure Services</li><li>Kubernetes</li><li>Redis</li><li>Elasticsearch</li><li>RabbitMQ</li><li>Grafana</li><li>Prometheus</li><li>Nginx</li><li>Terraform</li><li>Infrastructure as Code</li><li>OpenAPI / Swagger</li><li>WebSockets</li><li>SignalR</li><li>OAuth2 / OpenID Connect</li><li>OIDC/Entra ID integrations</li></ul><br><br><p><strong>Why Join Us?</strong></p><br><br><br><p>You will work on cutting-edge enterprise software used in the digital transformation of the energy sector, including renewable energy, battery energy storage systems (BESS), electric vehicles, smart metering, and grid digitalization. You'll collaborate with a multidisciplinary team to build scalable, high-impact software products that support utilities, governments, and energy developers across multiple countries.</p><br><br> <br><br> </div>

‏⁦ ???? We are Hiring: Senior Dev Ops Engineer (100% Remote) at Enjoy Driving ????????Are you ready to build and scale the infrastructure powering the future of multi-city transportation and delivery? At Enjoy Driving we are expanding our platform to provide seamless mobility and delivery experiences and we are looking for a skilled Senior Dev Ops Engineer with strong Oracle Cloud Infrastructure (OCI) expertise to join our team on a full-time fully remote basis. If you thrive in dynamic fast-paced environments and love designing robust automated and scalable cloud systems from anywhere this role is for you!???? Location: Remote (Full-Time)???? Employment Type: Full-time???? Experience Level: 5+ Years Key Responsibilities OCI Infrastructure & Automation: Design build and maintain highly scalable reliable and secure cloud infrastructure on Oracle Cloud Infrastructure (OCI). CI/CD Pipelines: Implement and optimize continuous integration and delivery pipelines to support rapid feature deployments. Monitoring & Reliability: Set up robust monitoring logging and alerting systems to ensure high availability and performance across OCI services. Containerization & Orchestration: Manage containerized environments (Docker OKE - Oracle Container Engine for Kubernetes) across development and production environments. Security & Compliance: Apply Dev Sec Ops best practices and OCI security standards to protect data integrity and system reliability. Asynchronous Collaboration: Work closely with cross-functional backend and product engineering teams across different locations to streamline deployment workflows. What We Are Looking For5+ years of hands-on experience in a Dev Ops or Infrastructure Engineering role. Proven hands-on experience with Oracle Cloud Infrastructure (OCI) (networking, compute, OKE, IAM, security, and storage services). Strong experience working effectively in a fully remote, asynchronous team environment. Proven track record with containerization (Docker) and orchestration (Kubernetes / OKE). Hands-on experience with Infrastructure as Code (IaC) tools, specifically Terraform (OCI Terraform provider). Solid experience setting up and managing CI/CD pipelines (Git Hub Actions, Git Lab CI, or Jenkins). Strong scripting skills in Python, Bash, or similar languages. Prior experience in high-growth startups, mobility, logistics, or delivery platforms is a major plus! Why Join Enjoy Driving?100% Remote Flexibility: Work from wherever you are most productive. Be a key architect in shaping the cloud foundation of an innovative mobility and delivery ecosystem. Collaborative, tech-driven, and growth-oriented engineering culture. Competitive compensation package and continuous opportunities for growth.#Dev Ops #OCI #Oracle Cloud #Remote Jobs #Hiring #Dev Ops Engineer #Enjoy Driving #Kubernetes #Terraform #CI_CD #Remote Work #Tech Jobs⁩

Job Title: System Administrator / ERPNext Administrator Job Objective: Responsible for managing, operating, and maintaining the company's technical systems, focusing on managing the ERPNext system, ensuring its stability and efficiency, supporting users, managing permissions, addressing technical issues, and contributing to system development and improvement in alignment with business needs. Responsibilities and Tasks: First: ERPNext Management - Managing and operating the ERPNext system and monitoring its performance and stability. - Setting up users, permissions, and roles within the system. - Managing Workflows, Roles, Permissions, Reports & Print Formats. - Monitoring company, branch, and user settings within ERPNext. - Supporting and developing processes related to sales, purchasing, inventory, accounts, human resources, and payroll. - Analyzing user issues within ERPNext and resolving them or coordinating with technical support. - Monitoring ERPNext updates and releases and ensuring compatibility with company systems. - Managing backups and data recovery when needed. - Coordinating with developers in case Customizations or Integrations are required. - Monitoring ERPNext integration with other systems and platforms. Second: Systems and Network Management - Managing company devices, systems, and users. - Managing user accounts, email, and permissions. - Monitoring networks, internet connectivity, and internal systems. - Managing servers and cloud systems when required. - Applying information security policies and protecting company data. - Following up on backups and ensuring data recoverability. - Monitoring system performance and handling technical faults and issues. Third: User Support - Providing technical support to company employees. - Training employees on using ERPNext and technical systems. - Preparing manuals and procedures for system usage. - Receiving technical issues and requests and following up until closure. - Identifying recurring problems and proposing solutions to reduce their occurrence. Fourth: System Development and Improvement - Studying department needs and translating them into technical requirements. - Proposing improvements to ERPNext and systems used in the company. - Contributing to process automation and reducing manual work. - Testing modifications and updates before applying them to the core system. - Documenting system settings, modifications, and integrations. Requirements and Qualifications: - Bachelor's degree in Computer Science, Information Technology, Information Systems, or a related field. - Practical experience in systems and network administration. - Good experience in ERPNext, preferably practical experience in system administration rather than just usage. - Good knowledge of Frappe Framework is considered a strong plus. - Knowledge of Linux basics, SQL, Databases, Networking & Cloud Systems. - Ability to manage users, permissions, and backups. - Ability to analyze and resolve technical problems. - Knowledge of Python basics is an added advantage, especially for dealing with ERPNext customizations. - Ability to work with APIs and integration between ERPNext and other systems is an added advantage. Required Experience: 3–5 years in systems administration, with practical experience in ERPNext, preferably having participated in implementing, developing, or managing ERPNext within a company. Personal Skills: - Analytical and problem-solving skills. - Ability to work independently and take responsibility. - Good communication skills with users and various departments. - Ability to manage multiple tasks and projects simultaneously. - Attention to detail and fast response to issues. - Ability to understand business needs and translate them into technical solutions. Preferred Experience in: ERPNext Implementation, Frappe Framework, Linux Server Administration, MariaDB / PostgreSQL, Python, REST APIs, Git / GitHub, Cloud Hosting, Backup & Disaster Recovery, Microsoft 365 / Google Workspace, Network & Security. Key Performance Indicators (KPIs): - Stability and availability of the ERPNext system. - Speed of resolving technical issues. - Percentage of support requests closed on time. - Accuracy of permissions and user management. - Success of backups and data recovery. - Reduction of recurring issues and manual work. - User satisfaction with technical support and systems. - Success of ERPNext updates and enhancements without affecting operational processes. <p><strong>Additional Details</strong></p><ul><li>Number of Vacancies: 1</li><li>Shift System: Morning only</li></ul>

<p><strong>About the Company</strong></p><p><strong>Sadaf for Audio &amp; Visual Production Co. Ltd. is a Saudi company operating in the field of audio and visual production.</strong></p><p><strong>About the Role</strong></p><p><strong>We are looking for an AI Engineer with hands-on, practical experience in building and operating AI agents and automation solutions, with the ability to transform the needs of different departments into practical, measurable technical solutions.</strong></p><p><strong>The role includes designing and developing AI agents, integrating them with company systems such as Odoo</strong>, email, and databases, improving operational processes, documenting developed solutions, and training employees on how to use them.</p><p>We are looking for someone whose role goes beyond simply using ready-made tools. The ideal candidate should be able to analyze problems, select the appropriate technology, build solutions, test and deploy them, measure their impact, and continuously improve them.</p><p><strong>Key Responsibilities</strong></p><ul><li>Assess the needs of different departments and identify high-priority, high-impact opportunities for automation and digital transformation.</li><li>Design, build, and develop AI Agents and multi-step workflows to execute tasks and streamline processes.</li><li>Develop internal tools that support company needs, including text, content, image, and video analysis when required.</li><li>Integrate AI and automation solutions with email, Odoo, databases, and other systems through APIs, Webhooks, and appropriate integration tools.</li><li>Evaluate new tools, models, and platforms and select the most suitable options based on quality, security, cost, and ease of use.</li><li>Define Key Performance Indicators (KPIs) to measure the impact of solutions, such as time saved, cost reduction, output accuracy, task success rate, and user adoption.</li><li>Test solutions before launch, monitor their performance after deployment, create operational logs (Logging), and establish clear mechanisms for handling errors and rollback when required.</li><li>Implement access controls and human approval mechanisms for sensitive operations, protect company data, and comply with applicable privacy requirements.</li><li>Prepare technical documentation and clear user guides for developed solutions, train employees, and follow up on their usage.</li><li>Prepare periodic reports for executive management covering completed solutions, results, issues, costs, recommendations, and next steps.</li></ul><p><strong>Qualifications &amp; Experience</strong></p><ul><li>Bachelor’s degree in Computer Science, Artificial Intelligence, Software Engineering, Information Systems, or a related technical field; or equivalent practical experience supported by strong projects.</li><li>Direct hands-on experience in building and operating AI Agent solutions and business automation systems.</li><li>Ability to provide clear examples of real projects that the candidate has implemented or directly contributed to, including the problem addressed, personal role, testing and deployment approach, and final outcome.</li><li>Experience working independently and translating business requirements into practical technical solutions.</li></ul><p><strong>Core Technical Skills</strong></p><ul><li>Proficiency in at least one programming language, such as Python, TypeScript, or JavaScript.</li><li>Hands-on experience with APIs, Webhooks, databases, and SQL.</li><li>Experience using at least one automation platform, such as n8n, Make, Microsoft Power<strong> </strong>Automate, or Zapier, or the ability to develop custom-coded automation solutions as needed.</li><li>Experience with at least one AI model platform, such as OpenAI, Anthropic Claude, Google Gemini, or an equivalent platform.</li><li>Hands-on experience building multi-step AI agents, including Tool Calling, context and state management, workflow design, and handling step failures.</li><li>Knowledge of testing, evaluation, and monitoring concepts, including Logging, Monitoring, and Evaluation, as well as the use of Git, secrets and access management, deployment, and solution maintenance.</li><li>Ability to estimate and monitor the operating costs of AI solutions, including API usage and related services.</li></ul><p><strong>Preferred Qualifications</strong></p><ul><li>Experience with RAG and Vector Databases.</li><li>Experience integrating ERP systems, particularly Odoo, with AI and automation solutions.</li><li>Experience with multimodal AI solutions or within media, production, and content environments.</li><li>Experience training employees or delivering workshops and technical presentations to non-technical audiences.</li></ul><p><strong>Soft Skills</strong></p><ul><li>Fluency in Arabic and an excellent level of English sufficient to understand technical documentation and resources.</li><li>Strong analytical thinking, problem-solving skills, and the ability to make practical technical decisions.</li><li>Ability to learn independently, keep up with emerging technologies on a regular basis, and evaluate what genuinely serves the company’s needs.</li><li>Ability to communicate clearly with executive management and non-technical departments, work independently, manage priorities, and meet deadlines.</li><li>Commitment to confidentiality and the protection of company data.</li></ul><p><strong>What We Offer</strong></p><ul><li>An opportunity to contribute to building and developing the company’s AI and automation ecosystem within an organization operating in the audio and visual production industry.</li><li>Direct collaboration with executive management and various departments on solutions that are actively used within the company.</li><li>Full-time remote work.</li><li>A monthly salary determined after the interview process based on experience and competency.</li><li>Internet cost coverage.</li></ul><p><strong>How to Apply</strong></p><p><strong>Please complete the application form included in this job advertisement.</strong></p><p>&nbsp;</p><p><br></p><p><strong>نبذة عن الشركة</strong></p><p><strong>شركة الصدف للإنتاج الصوتي والمرئي المحدودة، شركة سعودية تعمل في مجال الإنتاج الصوتي والمرئي.</strong></p><p><strong>نبذة عن الدور</strong></p><p><strong>نبحث عن مهندس ذكاء اصطناعي لديه خبرة عملية حقيقية في بناء وتشغيل وكلاء الذكاء الاصطناعي وحلول الأتمتة، لتحويل احتياجات الإدارات المختلفة إلى حلول تقنية قابلة للتطبيق والقياس.</strong></p><p><strong>يشمل الدور تصميم وتطوير الوكلاء، وربطهم بأنظمة الشركة مثل Odoo </strong>والبريد الإلكتروني وقواعد البيانات، وتحسين الإجراءات التشغيلية، مع توثيق الحلول وتدريب الموظفين على استخدامها<strong>.</strong></p><p><strong>نبحث عن شخص لا يقتصر دوره على استخدام أدوات جاهزة، بل يستطيع تحليل المشكلة، اختيار التقنية المناسبة، بناء الحل، اختباره، تشغيله، قياس أثره، وتحسينه بشكل مستمر.</strong></p><p><strong>المسؤوليات الرئيسية</strong></p><ul><li>دراسة احتياجات الإدارات المختلفة، وتحديد فرص الأتمتة والتحول التقني ذات الأولوية والأثر الأعلى<strong>.</strong></li><li><strong>تصميم وبناء وتطوير وكلاء ذكاء اصطناعي </strong>(AI Agents)<strong> </strong>وسير عمل متعدد الخطوات لتنفيذ المهام وتبسيط الإجراءات<strong>.</strong></li><li><strong>تطوير أدوات داخلية تدعم احتياجات الشركة، بما في ذلك تحليل النصوص والمحتوى والصور والفيديو عند الحاجة.</strong></li><li><strong>ربط حلول الذكاء الاصطناعي والأتمتة بالبريد الإلكتروني ونظام </strong>Odoo<strong> </strong>وقواعد البيانات والأنظمة الأخرى عبر<strong> </strong>APIs<strong> و</strong>Webhooks<strong> </strong>وأدوات التكامل المناسبة<strong>.</strong></li><li><strong>تقييم الأدوات والنماذج والمنصات الجديدة واختيار الأنسب من حيث الجودة، الأمان، التكلفة، وسهولة الاستخدام.</strong></li><li><strong>تحديد مؤشرات أداء (</strong>KPIs<strong>) </strong>لقياس أثر الحلول، مثل الوقت الموفر، خفض التكلفة، دقة المخرجات، معدل نجاح المهام، وتبني المستخدمين<strong>.</strong></li><li><strong>اختبار الحلول قبل الإطلاق، ومراقبة أدائها بعد التشغيل، وإنشاء سجلات تشغيل (</strong>Logging<strong>) </strong>وآليات واضحة للتعامل مع الأخطاء والتراجع عند الحاجة<strong>.</strong></li><li><strong>تطبيق ضوابط الصلاحيات والموافقات البشرية للعمليات الحساسة، وحماية بيانات الشركة والالتزام بمتطلبات الخصوصية ذات الصلة.</strong></li><li><strong>إعداد توثيق تقني وأدلة استخدام واضحة للحلول المطورة، وتدريب الموظفين ومتابعة استخدامهم لها.</strong></li><li><strong>إعداد تقارير دورية للإدارة التنفيذية عن الحلول المنجزة، النتائج، المشكلات، التكاليف، التوصيات، والخطوات القادمة.</strong></li></ul><p><strong>المؤهلات والخبرة</strong></p><ul><li>درجة البكالوريوس في علوم الحاسب، الذكاء الاصطناعي، هندسة البرمجيات، نظم المعلومات، أو تخصص تقني ذي صلة؛ أو خبرة عملية مكافئة مدعومة بمشاريع قوية<strong>.</strong></li><li><strong>خبرة عملية مباشرة في بناء وتشغيل حلول ذكاء اصطناعي (</strong>AI Agents<strong>) </strong>وأنظمة أتمتة أعمال<strong>.</strong></li><li><strong>القدرة على تقديم أمثلة واضحة لمشاريع حقيقية سبق تنفيذها أو المشاركة المباشرة في بنائها، مع توضيح المشكلة، الدور الشخصي، طريقة الاختبار والتشغيل، والنتيجة.</strong></li><li><strong>خبرة في العمل باستقلالية وتحويل متطلبات الأعمال إلى حلول تقنية قابلة للتنفيذ.</strong></li></ul><p><strong>المهارات التقنية الأساسية</strong></p><p><strong>·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;إجادة لغة برمجة واحدة على الأقل، مثل Python أو TypeScript أو JavaScript.</strong></p><p><strong>·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;خبرة عملية في التعامل مع واجهات برمجة التطبيقات (APIs)، وWebhooks، وقواعد البيانات، وSQL.</strong></p><p><strong>·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;خبرة في استخدام منصة أتمتة واحدة على الأقل، مثل n8n أو Make أو Microsoft Power Automate أو Zapier، أو القدرة على تطوير حلول أتمتة مبرمجة حسب الحاجة.</strong></p><p><strong>·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;خبرة في التعامل مع منصة واحدة على الأقل من منصات نماذج الذكاء الاصطناعي، مثل OpenAI أو Anthropic Claude أو Google Gemini أو ما يماثلها.</strong></p><p><strong>·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;خبرة عملية في بناء وكلاء ذكاء اصطناعي متعددة الخطوات، بما يشمل Tool Calling، وإدارة السياق والحالة، وتصميم سير العمل، والتعامل مع فشل الخطوات.</strong></p><p><strong>·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;معرفة بمفاهيم الاختبار والتقييم والمراقبة، بما يشمل Logging وMonitoring وEvaluation، إضافة إلى استخدام Git، وإدارة الأسرار والصلاحيات، ونشر الحلول وصيانتها.</strong></p><p><strong>·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;القدرة على تقدير ومراقبة تكلفة تشغيل حلول الذكاء الاصطناعي، بما في ذلك استهلاك واجهات برمجة التطبيقات (APIs) والخدمات المرتبطة بها.</strong></p><p><br></p><p><strong>تُعد ميزة إضافية</strong></p><ul><li>خبرة في<strong> RAG </strong>وقواعد البيانات المتجهة<strong> (Vector Databases).</strong></li><li><strong>خبرة في ربط أنظمة ERP</strong>، خصوصًا<strong> Odoo</strong>، بحلول الذكاء الاصطناعي والأتمتة<strong>.</strong></li><li><strong>خبرة في حلول الذكاء الاصطناعي متعددة الوسائط أو في بيئة الإعلام والإنتاج والمحتوى.</strong></li><li><strong>خبرة في تدريب الموظفين أو تقديم ورش عمل وعروض تقنية لغير المتخصصين.</strong></li></ul><p><strong>المهارات الشخصية</strong></p><ul><li>إجادة اللغة العربية، ومستوى ممتاز في الإنجليزية يسمح بفهم الوثائق والمصادر التقنية<strong>.</strong></li><li><strong>تفكير تحليلي وقدرة قوية على حل المشكلات واتخاذ قرارات تقنية عملية.</strong></li><li><strong>القدرة على التعلم الذاتي ومتابعة التقنيات الجديدة بصورة دورية وتقييم ما يخدم احتياجات الشركة فعليًا.</strong></li><li><strong>القدرة على التواصل بوضوح مع الإدارة التنفيذية والإدارات غير التقنية، والعمل باستقلالية وإدارة الأولويات والالتزام بالمواعيد.</strong></li><li><strong>الالتزام بسرية المعلومات وحماية بيانات الشركة.</strong></li></ul><p><strong>ما نقدمه</strong></p><ul><li>فرصة للمساهمة في بناء وتطوير منظومة الذكاء الاصطناعي والأتمتة داخل شركة تعمل في مجال الإنتاج الصوتي والمرئي<strong>.</strong></li><li><strong>العمل بشكل مباشر مع الإدارة التنفيذية والإدارات المختلفة على حلول تُستخدم فعليًا داخل الشركة.</strong></li><li><strong>العمل عن بُعد بدوام كامل.</strong></li><li><strong>الراتب يحدد بعد المقابلات الشخصية وفق الخبرة والكفاءة.</strong></li><li><strong>تغطية تكاليف الإنترنت.</strong></li></ul><p><strong>طريقة التقديم</strong></p><p><strong>املأ الاستمارة الموجودة داخل هذا الإعلان.</strong></p><li><br></li>

Hello,<br>We are hiring Scientific Coding Experts – Mathematics for a short-term remote contractor project supporting AI training and evaluation.<br>Qualification: Master’s or PhD in Mathematics Duration: 8 weeks Engagement: Contractor Commitment: 40 hours/week with at least 4 hours overlap with PSTBudget- $180/task upon approval (Complex task expected to take 6 hours to complete) Start: Immediate Location: Remote – Egypt<br>Role Create rigorous mathematical coding problems Develop verified Python solutions and unit tests Design test cases to evaluate model outputs Review and improve tasks based on quality feedback Work with tools such as Num Py, Sci Py, and Sym Py<br>Requirements Master’s or PhD in Mathematics Strong Python and scientific-computing skills Strong mathematical reasoning and attention to detail Ability to create well-defined problems with clear expected outputs Research, AI evaluation, scientific writing, or data-annotation experience preferred Google Scholar profile/link is mandatory<br>Apply Here Application Form: https://docs.google.com/forms/d/e/1FAIpQLSff0RN9r KI8Ffk-0gl2QHGIQ-KOmu PbSD_x7MEMzZ8UUrd NeA/viewform?usp=publish-editor<br>Next step will be shared with you over email.<br>Looking forward to work with you.<br>Thanks & Regards Akshay

About Us<br><br>Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs.<br><br>Role Overview<br><br>We are looking for a scientific computing professional to contribute to an advanced AI training initiative focused on developing rigorous STEM coding datasets. The project involves creating and validating complex chemistry problems that help train and evaluate frontier AI models. You will be responsible for scientific problem design, Python implementation, and rigorous quality validation, ensuring that every task meets strict standards for scientific correctness, determinism, and evaluation performance.<br><br>CONTRACT: Short-term freelance<br><br>COMMITMENT: Hourly - up 40 40h/week<br><br>LOCATIONS: Remote - Bangladesh, Brazil, Colombia, Egypt, Ghana, India, Pakistan, Indonesia, Kenya, Nigeria, Turkey, Vietnam<br><br>NOTE: Must have published research or academic project experience in a STEM domain.<br><br>Responsibilities<br><br>Design scientific coding tasks consisting of one main chemistry problem and at least 3 logically connected, progressively structured sub-problems Develop verified golden solutions in Python with complete unit test coverage Create discriminative test cases that distinguish correct from incorrect AI-generated outputs Execute quality control validation through the Central Task Platform (CTP), including Tier 1 structural checks and Tier 2 quality rubrics Iterate on task specifications, implementations, and test cases based on QC feedback Optimize tasks to meet Pass@K evaluation criteria across multiple LLM judges, including GPT, Gemini, and Nemotron Ensure scientific correctness, determinism, well-posedness, and adherence to project quality standards Maintain high first-submission quality and minimize rework, targeting consistent L1 approval Participate in review meetings, feedback sessions, and project standups during required overlap hours<br><br>Requirements<br><br>Master's degree or PhD in Chemistry Strong Python programming skills with experience in scientific computing Experience using scientific Python libraries such as Num Py, Sci Py, Sym Py, or relevant domain-specific tools Ability to formulate rigorous scientific problems with clear constraints and expected outputs Experience writing or implementing scientific solutions with unit tests and deterministic outputs Prior experience in AI data annotation, scientific research, or scientific writing Familiarity with LLM evaluation frameworks, coding benchmarks, or AI-generated code assessment Published research or academic project experience involving chemistry or another STEM discipline

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Join the dynamic Global Operations Excellence (GOE) team, where innovation meets impact. We're at the forefront of developing cutting-edge solutions that drive efficiency and intelligence across Siemens Digital Industries Software. As part of our team, you'll contribute to exciting projects enhancing our operational insights and automation, streamlining processes across teams. We foster a collaborative environment where creativity is encouraged, and your contributions directly shape the future of our digital landscape. Your responsibilities will include management of our active platform initiatives including our Command Center, providing full visibility of our environment and services as a single pane of glass. Also, our full-stack AI infrastructure operations platform including a chat bot and our end-to-end budget tracking system amongst other projects. You will be responsible for the health, design, implementation, and production reliability of the platforms. Key Responsibilities As a Full Stack Developer, your responsibilities will include: • Platform accountability: Take technical accountability for maintaining, evolving, and operating production platform initiatives, with readiness to absorb additional initiatives in the future. • Backend Services: Design, implement, and operate platform components using Python, with an emphasis on reliability, performance, and long-term maintainability. • AI Agent Development: maintain AI agents using Python, working with LLM APIs, agent frameworks, prompt design, tools, guardrails, and fallback flows. Design agents that support infrastructure workflows such as VM provisioning, troubleshooting, incident triage, and operational recommendations. • APIs &amp; Integrations: Build and evolve APIs and integration services for internal and external consumers. Integrate with cloud, virtualization, monitoring, ITSM, and infrastructure systems. • Full-Stack Command Center Development: Maintain web applications using React, Next.js, FastAPI, and TypeScript. • System Design: Contribute to architecture discussions, evaluating trade-offs between simplicity, scalability, and operational complexity. • Monitoring, Logging &amp; Alerting: Improve system operability by enhancing logging, metrics, alerting, observability, and deployment workflows. • Automation &amp; CI/CD: Maintain, and optimize CI/CD pipelines to automate delivery, testing, and deployment processes. • Code Quality: Participate in code reviews and design discussions, maintaining high standards for code quality, testing, and documentation. • AI Risk Management: Monitor agent accuracy, failures, latency, cost, and user feedback. Manage AI risks such as hallucinations, unsafe recommendations, prompt injection, and unauthorized actions. • Production Support: Own incident triage, troubleshooting, and resolution for all Platforms. Skills Required (Non-Technical) • Proven ability to own and deliver complex features from design through production. • Strong verbal and written communication skills, with the ability to articulate complex technical concepts clearly. • Ability to work effectively in a collaborative, global, agile environment. Skills Required (Technical) Python Backend &amp; Platform Engineering • Strong Python development experience at a senior level. • Experience building APIs using FastAPI. • Experience designing backend services for agent execution, workflows, infrastructure actions, and integrations. • Experience building background jobs, queues, schedulers, and automation workflows. • Ability to write reliable, testable, maintainable code and debug production issues. AI Agent &amp; LLM Application Development • Experience building and maintaining AI agents using Python. • Working knowledge of LLM APIs, agent frameworks, prompt design, tools, guardrails, and fallback flows. • Experience using internal documentation, runbooks, logs, tickets, and knowledge bases for retrieval-augmented responses. React / TypeScript Full-Stack Development • Experience with React and Next.js, including server-side rendering, API routes, and modern frontend architecture patterns. • Strong focus on developer experience and maintainable, scalable frontend codebases. • Experience integrating frontend applications with Python backend APIs. Infrastructure &amp; Cloud Operations • Experience with cloud platforms, primarily AWS. • Understanding of virtualization platforms, infrastructure APIs, and infrastructure-as-code concepts. • Experience with monitoring, logging, alerting, and operational runbooks. Cloud &amp; DevOps • Experience with CI/CD pipelines. • Experience with containerization and orchestration using Docker and Kubernetes. • Solid understanding of distributed systems and cloud-native architectures. Education &amp; Experience Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field. 7 years of professional experience as a Principal engineer or in a similar role. Why Join Us? We are Siemens: At Siemens Software, flexibility is how we work—hybrid by default, built on trust and autonomy. Together, 30,000 people across more than 200 countries build technology that shapes the real world. You'll grow through real projects, strong technical peers, and global mobility, backed by the scale and benefits of an industrial software leader. We're committed to equality and inclusion, and we hire based on merit, skills, and impact. Bring your curiosity and creativity and help us shape tomorrow! Compensation &amp; Benefits The salary range for this position is USD 33, 500 to USD 67,000 and this role is eligible to earn incentive compensation. The actual compensation offered is based on the successful candidate's job-related skills, experience, and relevant education/training. Siemens offers health and wellness benefits to employees; you can access the benefits available in your country via the link: https://jobs.sw.siemens.com/benefits/ Our Commitment to Diversity &amp; Inclusion We value equal opportunities and welcome applications from people with disabilities. At Siemens, we believe people who've had real experiences dealing with being different will excel as leaders. Let's foster a culture of creativity and innovation. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. Siemens Software. Transform the Everyday #LI-Hybrid</span> </div>

Position: Scientific Coding Expert Physics and Python Type: Short-Term Contractor Assignment (8 weeks) Compensation: $30 per hour Location: Remote Commitment: Full-time, 40 hours per week with 4 hours overlap with PST<br>Role Responsibilities Create rigorous scientific coding problems consisting of a main problem and at least 3 logically connected sub-problems. Implement verified golden solutions in Python with complete unit test coverage. Design discriminative test cases to differentiate correct from incorrect model outputs. Run quality-control checks and improve tasks based on feedback. Ensure tasks meet standards for scientific correctness, well-posedness, determinism, and test quality. Participate in reviews, feedback sessions, and project standups during overlap hours.<br>Requirements Master's or PhD in Physics. Strong Python programming and scientific computing skills. Ability to write rigorous, well-posed scientific problems with clear constraints and expected outputs. Strong attention to detail and understanding of scientific correctness and determinism. Familiarity with LLM evaluation frameworks or coding benchmarks is a plus. Experience with Num Py, Sci Py, Sym Py, or similar scientific tools. Google Scholar profile/link is mandatory.<br>Application Process Apply via the Interest Check Form. Resume and Google Scholar profile will be reviewed. Check email for next steps.<br><br>Skills: Engineering, Coding, Programming

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>We're building production AI agents that change how our engineering org ships code and how employees work with internal knowledge.<br> You'll join a small, high-ownership team.<br> You'll write the agent logic, the tools, the data layer, and the pipelines that make them dependable at scale.<br> Turn architecture into reliable, well-tested, production-grade systems.<br> Role and Responsibilities : Implement agent logic, tools, and orchestration against the given architecture.<br> Build and tune RAG pipelines : ingestion → embeddings → retrieval → re-ranking → evaluation Design and optimize Postgres schemas, queries, and vector indexes for production load Build the test-generation and test-execution engine for the AI Code Pipeline Integrate with Git, CI/CD, and internal services Build evaluation harnesses, observability, and guardrails so agents are measurable and safe Own the reliability, latency, and cost of the systems you ship Write clean, typed, well-tested Python and participate actively in code review Opportunity to work for a dynamic international company with a flat hierarchical structure, where your voice matters and your impact is seen.<br> 4+ years of professional software engineering in Python , with deep, hands-on command of the language : async, typing, packaging, performance, and clean, maintainable code 1+ years building LLM / agentic systems — tool use / function calling, orchestration, prompting, and evaluation Strong problem-solving and debugging on ambiguous, real-world production problems.<br> Solid Postgres experience: schema design, query optimization, and extensions ( pgvector ) Experience shipping and operating production services — testing, CI/CD, observability, on-call mindset Comfort with Git-based workflows and code review Automating software testing: unit, integration, functional, security, performance Integrating with developer tooling and CI/CD systems 6+ months of demonstrated experience building with Claude Code in a development workflow</span> </div>