Python Developer Jobs in Egypt

Python / AI Engineer (AWS Bedrock, Multi-Agent AI) About the Role<br>We are looking for a Python / AI Engineer to design, build, and test intelligent multi-agent applications running on AWS Bedrock. In this role, you will develop AI agents using modern agent frameworks, implement agent collaboration and delegation patterns, integrate foundation models, and establish testing and evaluation practices for production-grade AI solutions. You will work closely with AI engineers, platform teams, and architects to build scalable, maintainable, and enterprise-ready agent-based applications.<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 Python / AI Engineer, you will become part of the Core Architecture Team, contributing to the development of a modern Digital Engineering Enterprise Platform. The platform provides engineering teams with reusable services, development tools, cloud technologies, governance standards, and operational best practices that accelerate software delivery across more than 700 enterprise applications.<br>Responsibilities Design, develop, and maintain AI agent applications using Python and modern agent frameworks such as Lang Graph, Strands, Crew AI, or equivalent. Build intelligent multi-agent workflows with collaboration and delegation capabilities. Integrate AI agents with AWS Bedrock foundation models and related AWS AI services. Develop Agent-to-Agent (A2A) communication using JSON-RPC 2.0, Server-Sent Events (SSE), and related communication patterns. Design and implement automated testing strategies for agent behavior, workflow correctness, and system reliability. Build evaluation frameworks using pytest, Lang Smith, and other testing and validation tools. Create reusable components, templates, and pattern libraries that accelerate AI application development. Produce clear technical documentation, implementation guides, and engineering best practices. Collaborate with platform, AI, Dev Ops, and product teams to deliver scalable and production-ready AI solutions. Monitor, troubleshoot, and optimize agent performance, reliability, and operational efficiency. Promote engineering excellence through observability, testing, governance, and AI application lifecycle best practices.<br>Requirements Bachelor's degree in computer science, Software Engineering, or a related field.4+ years of professional Python software development experience. Hands-on experience with at least one modern agent framework such as Lang Graph, Strands, Crew AI, or an equivalent framework. Experience implementing multi-agent collaboration and delegation patterns. Experience integrating applications with AWS Bedrock APIs and foundation models. Knowledge of Agent-to-Agent (A2A) communication patterns, including JSON-RPC 2.0 and Server-Sent Events (SSE). Experience building automated testing frameworks using pytest and AI evaluation tools such as Lang Smith. Experience writing technical documentation and creating reusable engineering assets. Strong understanding of software engineering best practices, code quality, and testing methodologies. Excellent problem-solving, communication, and collaboration skills.<br>Nice to Have Hands-on experience with the Strands SDK. Experience with Lang Smith tracing, evaluation, and observability. Familiarity with prompt engineering and AI evaluation methodologies. Experience deploying AI applications in AWS cloud environments. Knowledge of CI/CD pipelines, Infrastructure as Code (IaC), and cloud-native application development.<br>Why Join UsWork on enterprise-scale AI initiatives for a global industry leader. Build intelligent multi-agent applications using the latest AI frameworks and AWS Bedrock technologies. Collaborate with experienced architects and AI engineers on innovative cloud-native solutions. Contribute to engineering standards, reusable frameworks, and best practices for enterprise AI development. Be part of a team shaping the future of production-grade AI applications at global scale.

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!

Job Overview<br>We are seeking a skilled Odoo Technical Developer to design, customize, and develop applications within the Odoo ERP framework. You will work closely with functional consultants to deliver tailored solutions that meet client requirements.<br>Responsibilities<br>Design, develop, and customize Odoo ERP modules based on client requirements. Develop new features, business logic, and system integrations. Work with Postgre SQL for database design and optimization. Create and maintain QWeb reports and web interfaces. Debug, maintain, and enhance existing Odoo modules. Collaborate with functional consultants to translate business needs into technical solutions. Ensure code quality, performance, and security best practices. Support deployment, upgrades, and bug fixes. Requirements<br>Bachelor’s degree in Computer Science, Software Engineering, or IT. Strong proficiency in Python and Odoo framework. Solid knowledge of Postgre SQL, XML, Java Script, HTML, CSS, QWeb. Experience in Odoo ORM and API integrations (REST/SOAP). Familiarity with Git and Linux environments. Strong problem-solving and debugging skills. Previous experience in Odoo module development is highly preferred. Odoo Technical Certification is a plus.

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).

<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>

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.

نوع الدوام: دوام كامل | الموقع: الإسكندرية، مصر— عن الشركة والدور —منصة رائدة في القطاع الطبي والصحي والتجميل تبني تطبيقاً متعدد المنصات (Android / i OS / Huawei) مع لوحات تحكم على الويب. نبحث عن مهندس Backend خبير (Python / Django) يقود الفريق التقني (Tech Lead) ويبني قلب المنتج: الواجهات البرمجية، الحجوزات، الاشتراكات، المحفظة المالية، محفظة النقاط، الكاش باك، العمولات، ودورة التحصيل المالية — بجودة عالية وبنية قابلة للتوسّع لدعم النمو المتسارع.هذا الدور قيادي وعملي في آنٍ واحد: تكتب الكود وتتخذ قرارات المعمارية وتقود بقية المهندسين تقنياً.المسؤوليات الرئيسيةقيادة التصميم المعماري للأنظمة الخلفية واتخاذ القرارات التقنية الأساسية.بناء وصيانة الواجهات البرمجية (REST APIs) الآمنة والقابلة للتوسّع.تطوير الأنظمة الحسّاسة: الدفع، الحجز، المحفظة المالية (إيداع رصيد واستخدامه في دفع الخدمات)، محفظة النقاط، العمولات، ودورة التحصيل المالية.وضع معايير جودة الكود ومراجعته (Code Review) وإرشاد مهندسي الفريق.ضمان الأمان والتشفير وحماية بيانات المرضى وفق أفضل الممارسات (OWASP).قيادة الامتثال التقني للأنظمة السعودية: ضوابط الأمن السيبراني (NCA ECC) وحماية البيانات (PDPL) وإقامة البيانات داخل المملكة.بناء تكامل الفوترة الإلكترونية (ZATCA المرحلة الثانية): توليد فواتير XML (UBL 2.1) مع الختم التشفيري وربط بوابة «فاتورة».بناء أنظمة الدفع والمحفظة المالية ومحفظة النقاط بالتنسيق مع مزوّد مدفوعات مرخّص من البنك المركزي (SAMA).تصميم قواعد البيانات وتحسين أدائها لتحمّل النمو.التعاون مع فريق Flutter وفريق لوحات الويب لضمان تكامل سلس.— المؤهلات والخبرة المطلوبة —6+ سنوات خبرة في تطوير الأنظمة الخلفية.إتقان Python / Django — وهو المعيار الرسمي المعتمد للباك اند في الشركة، مع قبول Fast API كبديل مكمّل لخدمات الأداء العالي.خبرة قوية في Postgre SQL وRedis.خبرة فعلية في تكامل أنظمة الدفع وبناء واجهات برمجية آمنة (OAuth2 / JWT).خبرة عملية في قيادة فريق تقني واتخاذ قرارات المعمارية.إلمام بـ Docker وأنظمة النشر الآلي (CI/CD) والاختبارات.معرفة عملية بممارسات الأمان (OWASP) وأساسيات الامتثال السعودي (PDPL وضوابط NCA).بكالوريوس علوم حاسب أو خبرة معادلة.ميزة إضافيةخبرة سابقة في القطاع الصحي (Healthtech) أو المالي (Fintech).خبرة فعلية ببوابات الدفع السعودية (مدى / STC Pay / Apple Pay / Tabby / Tamara / Hyper Pay) وفهم ترخيص مزوّدي المدفوعات لدى البنك المركزي (SAMA).خبرة بتطبيق ضوابط الأمن السيبراني (NCA ECC) والضوابط السحابية (CCC) في بيئة إنتاجية.إلمام بتكامل منصة NPHIES (بمعايير HL7 FHIR) ومعايير وزارة الصحة للطب الاتصالي (Telemedicine).إعداد المراقبة والتتبّع (Logging / Monitoring) لرصد الأعطال مبكراً.العمل بمنهجية Agile / Scrum مع مهارات تواصل وقيادة وإرشاد، والقدرة على العمل عن بُعد بكفاءة.متطلبات أساسيةالالتزام بتخزين كل البيانات داخل السعودية على مزوّد سحابي مسجّل لدى هيئة الاتصالات (CST) — وفق نظام حماية البيانات (PDPL).الالتزام بضوابط الأمن السيبراني الوطنية (NCA ECC) وممارسات الترميز الآمن (OWASP).وعي بسرية وحساسية البيانات الطبية وضوابط معالجتها (المادة 26 من نظام حماية البيانات).الاستعداد للعمل على مشروع مفتوح المصدر على Git Hub مع التوقيع على اتفاقية السرية (NDA) قبل البدء.<br>للتقديم: أرسل سيرتك الذاتية + روابط لمشاريع/أنظمة عملت عليها إلى hiring@amanever.com.

<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.

<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>

<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>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <strong>Job Description:</strong><br>NOK Human Capital is a leading HR consulting and talent acquisition firm with a global footprint and a proven track record of supporting Fortune 500 clients. We specialize in connecting top-tier talent with industry leaders, driving innovation, and fostering high-performance cultures across the MENA region and beyond.<br><strong>Job Title</strong><br>Senior Data Engineer (Analytics &amp; Automation)<br><strong><strong>Job Summary</strong></strong><br>Were looking for a Senior Data Engineer to build scalable, automated, and AI-powered analytics solutions that drive real business impact.<br><strong>Key Responsibilities</strong><br>Build Python-based automation, scalable data pipelines, and analytics frameworks<br>Develop reusable analytics modules (forecasting, anomaly detection, driver analysis)<br>Automate reporting, alerts, and insight generation<br>Design and develop interactive React-based analytics applications<br>Create scalable data models, standardized KPIs, and data marts<br>Ensure data quality and metric consistency<br>Partner with stakeholders to translate business problems into actionable solutions<br>Qualifications<br>3+ years of experience in Analytics/Data roles<br>Strong SQL and Python skills<br>Experience working with large-scale datasets<br>Experience building data tools, dashboards, or applications<br>Exposure to production workflows (Airflow, Lambda, scheduled jobs, etc.)<br>Experience with React or web-based analytics tools (preferred)<br>Knowledge of AI/ML use cases in analytics is a plus<br>Bachelors degree required; MBA/MSc is a plus<br><strong>Required Skills:</strong><br>• Automation<br>• Business<br> </div>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Project description The objective of this project is to design and develop a comprehensive In-Vehicle Infotainment (IVI) system for automobiles, focusing on UI/UX design, IVI system architecture, and software development. The goal is to enhance the in-car user experience, provide seamless connectivity, and deliver a feature-rich entertainment and information platform. This project aims to deliver a cutting-edge IVI system that not only meets but exceeds user expectations in terms of functionality, aesthetics, and integration within the automotive environment. The project team will work collaboratively to bring innovative features to the in-car experience while adhering to industry standards and best practices. Key Components: 1. UI/UX Design 2. IVI System Design 3. Software Architecture 4. Integration with Vehicle Systems 5. Testing and Quality Assurance 6. Documentation 7. Test strategy, Test process and Test Metrics 8. Project Timeline Responsibilities Mainly responsible for intelligent cockpit software testing, including manual testing and automation testing, and also includes test bench construction and debugging. Responsible for functional test case development, test environment construction, test program development and debugging. Responsible for the design and development of test scenarios for the smart cockpit system. responsible for intelligent cockpit interaction system function test. Responsible for test implementation, problem analysis and management. Assist the project manager in test data analysis, test plan and test solution preparation. Planning and monitoring test strategy and test plan 1 plan test measurements and metrics in the product and the Testing Team 2 Work with all involved parties (Stakeholder, PO, Developers etc.) to determine the appropriate software validation strategy Skills Must have Bachelor's degree or above, majoring in computer, electronics/communication, automation or vehicle-related majors. Test management, test theory, test methodology know-how and Knowledge. Understanding of intelligent cockpit testing. Proficient in using HMI-related development and testing software. Familiar with one or more testing tools, such as ADB debugging, Appium, Jenkins and other software testing tools application and integration. Good knowledge in Python programming Nice to have Knowledge of Agile development and Agile testing is preferred. Experience in test evaluation system establishment and report drafting is preferred. C language, Python or LabVIEW development skills. Experience in Qualcomm 8155/8295 smart cockpit bench testing is preferred. Experience in CI/CD/CT test deployment and integration is preferred. ISTQB Foundation Level, Experience in ISO 29119 Software testing, Automotive SPICE Test preferred Other Languages English: B2 Upper Intermediate Seniority Intern</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>Bachelor's degree or above, majoring in computer, electronics/communication, automation or vehicle-related majors. Test management, test theory, test methodology know-how and Knowledge. Understanding of intelligent cockpit testing. Proficient in using HMI-related development and testing software. Familiar with one or more testing tools, such as ADB debugging, Appium, Jenkins and other software testing tools application and integration. Good knowledge in Python programming Knowledge of Agile development and Agile testing is preferred. Experience in test evaluation system establishment and report drafting is preferred. C language, Python or LabVIEW development skills. Experience in Qualcomm 8155/8295 smart cockpit bench testing is preferred. Experience in CI/CD/CT test deployment and integration is preferred. ISTQB Foundation Level, Experience in ISO 29119 Software testing, Automotive SPICE Test preferred English: B2 Upper Intermediate</p><p></p></section>

About Valify Solutions Valify is a leading Reg Tech company specializing in digital identity verification and compliance automation. We enable financial institutions, fintechs, and large enterprises to securely onboard customers, mitigate risk, and comply with evolving regulatory standards through advanced AI-powered solutions. As we continue to expand across the region, we are seeking a skilled and driven Marketing Specialist to join our team and support our growth initiatives.<br>Role Overview:Are you a technical problem solver with a passion for building strong customer relationships? Do you thrive in a fast-paced environment where you can wear multiple hats? If so, our Technical Customer Success Engineer role at Valify might be the perfect fit for you! In this role, you will play a pivotal role in the onboarding, support, and success of our customer accounts, ensuring they derive maximum value from our solutions.<br>Key Responsibilities:Customer Engagement:Act as a trusted advisor to a portfolio of customer accounts, guiding them through onboarding, technical support, and ongoing success initiatives. Collaborate closely with the sales team to provide technical expertise during Proof-of-Concepts (POCs) and ensure successful customer adoption of Valify solutions. Technical Expertise:Develop and customize Python scripts and API integrations tailored to meet specific customer requirements, enhancing service flexibility and functionality. Lead the deployment and integration of Valify services across various environments (Cloud, On-premise), ensuring seamless implementation and optimal performance. Data Analysis and Documentation:Conduct data analysis for assigned accounts to identify trends, opportunities for improvement, and ensure alignment with customer success metrics (e.g., NPS, CSAT). Create custom documentation and clear flowcharts to document customer environments, use cases, and solution configurations.<br>Requirements:Bachelor’s degree in Computer Science, Engineering, or related technical field.5-8 years of experience in a customer success or technical account management role, preferably in a technology or Saa S company. Proficiency in Python scripting, API integrations, and cloud technologies (AWS, Azure). Strong analytical skills with experience in data analysis, spreadsheet management. Excellent communication and interpersonal skills, with a proven ability to build and maintain strong customer relationships. Experience with technical documentation and flowchart creation is a plus.

<p>We are seeking a Senior Software &amp; Automation Engineer to design, develop and implement automation, AI and machine learning solutions that transform manual processes into efficient digital workflows. This role focuses on delivering business value through software development, automation engineering, data-driven solutions and continuous process optimisation while collaborating with distributed international teams.</p><p><strong>What you ll do</strong></p><ul><li>Design, develop and implement web applications and automation solutions in alignment with defined architectural standards.</li><li>Establish and maintain development standards, tools and best-practice processes for software delivery.</li><li>Work with development and analytics technologies including ETL, reporting, SQL and programming tools.</li><li>Produce development documentation, process flows, diagrams and technical artefacts to support solution delivery.</li><li>Analyse business requirements and identify opportunities to deliver value through automation and digitalisation.</li><li>Optimise requirements and develop solutions that improve efficiency, reduce costs and enhance operational performance.</li></ul><p><strong>What's in it for you</strong></p><ul><li>Opportunity to work on large-scale automation, AI and digitalisation initiatives.</li><li>Exposure to modern software development frameworks, analytics tools and enterprise technologies.</li><li>Collaboration with international teams and stakeholders across multiple business functions.</li><li>Ability to influence process improvement, cost optimisation and business transformation outcomes.</li></ul><p><strong>What skills you will learn</strong></p><ul><li>Advanced automation engineering and enterprise software development practices.</li><li>AI and machine learning solution implementation within business environments.</li><li>Data analytics, reporting and performance optimisation techniques.</li><li>Solution architecture alignment, governance and technical documentation skills.</li><li>Stakeholder management and business requirement analysis capabilities.</li></ul><p><strong>Desired Candidate Profile</strong></p><p>Degree-qualified in a technology-related discipline. Experience working within international and distributed teams and across projects of varying scope and complexity. Strong stakeholder engagement, organisation and prioritisation skills with experience producing project plans, milestones and dependencies. 4-7 years of overall professional experience in software engineering, automation or related technology functions. Strong understanding of AI and automation application structures, governance, data performance and data security principles. Hands-on experience with SQL, Python, Django, Flask, JavaScript and REST APIs. Knowledge of Python automation and data analytics libraries including NumPy, Pandas, Matplotlib and Seaborn. Working knowledge of profiling tools and object-oriented programming principles. Exposure to Angular, Bootstrap, React, React Native and ITIL practices would be advantageous. Demonstrates analytical thinking, troubleshooting capability, attention to detail and a flexible approach to problem solving</p>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span> What you´ll do </span><ul> <li>Build agentic LLM applications (tool-calling, routing, multi-step orchestration) and RAG pipelines over enterprise documents and data.</li> <li>Define evaluation criteria (accuracy, groundedness, cost, latency) before building AI features and iterate against them.</li> <li>Integrate AI into business interfaces (Teams/chat/voice) and enterprise data platforms (SQL warehouse, NL-to-SQL, BI).</li> <li>Develop scalable AI pipelines and integrate models into enterprise systems.</li> <li>Evaluate AI use cases, model performance, accuracy, and business impact.</li> <li>Collaborate with business, data, and technology teams to identify AI opportunities.</li> <li>Implement responsible AI, governance, security, and monitoring practices.</li> <li>Optimize AI solutions for scalability, reliability, and operational efficiency.</li> <li>Stay updated on emerging AI technologies and industry trends.</li> <li>Works closely with: • Business stakeholders • Data &amp; analytics teams • Enterprise architecture • Digital transformation teams • IT &amp; security</li> </ul> <br><br> What makes you a good fit <ul> <li>Bachelor's degree in Computer Science.</li> <li>1 - 2 years of relevant work experience.</li> <li>Fluent English speaker with excellent communication skills (both verbal and written) and teamwork abilities.</li> <li>Agent frameworks (LangGraph / LangChain) and tool/function-calling.</li> <li>Async API development (FastAPI), Pydantic-style validation, modern Python tooling (uv).</li> <li>Infrastructure as code (Terraform) and CI/CD-based deployment.</li> <li>Machine Learning &amp; Deep Learning • Python, SQL, APIs.</li> <li>LLMs, Prompt Engineering, RAG architecture.</li> <li>Cloud platforms (Azure)</li> <li>Problem-solving &amp; stakeholder communication.</li> <li>Microsoft Teams bot / conversational-AI development (Bot Framework / Teams AI SDK (nice to have)</li> <li>MCP (Model Context Protocol) or similar tool-server architectures for multi-agent systems (nice to have).</li> <li>&nbsp;SAP BTP (developer) is a plus</li> <li>Git</li> </ul> Some perks of joining Henkel <ul> <li>Flexible work scheme with flexible hours, hybrid work model, and work from anywhere policy for up to 30 days per year</li> <li>Diverse national and international growth opportunities</li> <li>Global wellbeing standards with health and preventive care programs</li> <li>Gender-neutral parental leave for a minimum of 8 weeks</li> <li>Employee Share Plan with voluntary investment and Henkel matching shares</li> <li>Comprehensive Health Insurance for employee + dependents</li> <li>Employee Assistance Programme provides a wide range of mental health and wellbeing benefits</li> </ul> <p>At Henkel, we come from a broad range of backgrounds, perspectives, and life experiences. We believe the uniqueness of all our employees is the power in us. Become part of the team and bring your uniqueness to us! We look for a diverse team of individuals who possess different backgrounds, experiences, personalities and mindsets.</p><br> <br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>As an AI &amp; Data Trainee, you will contribute to projects that turn data into insight and help shape AI-driven solutions that support business goals.<br> This role is a strong fit for someone looking to grow their foundation in artificial intelligence, machine learning, and data work while collaborating with teams across the business on meaningful technology initiatives.<br> Responsibilities Develop and implement AI and data-driven solutions to support business objectives.<br> Analyze large datasets to extract actionable insights and support decision-making.<br> Design and build machine learning models and algorithms tailored to company projects.<br> Collaborate with cross-functional teams to integrate AI solutions into existing systems and workflows.<br> Stay current with the latest advances in AI, machine learning, and data science technologies.<br> Support data governance, data quality, and ethical AI practices within the organization.<br> A culture of growth: Many of our leaders started in junior roles — we believe in investing in our people and growing talent from within.<br> Continuous feedback: We don’t wait for annual reviews — we believe in real-time coaching and development.<br> Supportive &amp; collaborative vibes: We're all about learning together, cheering each other on, and diving into challenges as a team.<br> A space for every personality: Love socializing?<br> You’ll thrive in our lively environment where conversation and connection are key.<br> Prefer quiet focus?<br> We’ve got dedicated Focus Rooms perfect for deep work.<br> Bachelor’s degree (or recent graduate) in Computer Science, Data Science, Artificial Intelligence, or a related field.<br> Basic knowledge of machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn (academic or personal projects are a plus).<br> Good programming skills in Python and familiarity with data processing libraries (such as Pandas and NumPy).<br> Basic understanding of working with data, including data cleaning workflows, and data visualization tools such as Power BI or Tableau, along with Python-based visualization libraries such as Matplotlib or Seaborn.<br> Foundational knowledge of statistics, data mining, predictive modeling concepts, and model experimentation workflows.<br> Experience working in Agile-style delivery.<br> Eligible to work in Egypt.<br> Experience with version control using Git is a plus.<br> Completion of solid AI, machine learning, or data projects is a plus.<br></span> </div>