Mechanical Engineering Jobs in Egypt

Company Description<br> <br>Alpha Power is a specialized engineering provider catering to the pharmaceutical and medical supplies industry with a comprehensive range of machinery and technical solutions. The company ensures efficient and compliant production processes across all stages, from production lines to utilities and clean manufacturing. Its portfolio includes advanced pharmaceutical machinery, cleanroom and filtration solutions, and water treatment consultation and parts supply. Alpha Power also delivers reliable after-sales support, including spare parts, maintenance, and system upgrades, enabling pharmaceutical manufacturers to optimize performance and maintain regulatory standards. With extensive industry expertise and a commitment to fast, professional service, Alpha Power helps clients achieve continuity and operational excellence.<br><br> Role Description<br> <br>This is a full-time on-site role based in Egypt for a Sales Engineer. The Sales Engineer will be responsible for building and maintaining relationships with clients, promoting Alpha Power’s comprehensive engineering solutions, and identifying customer needs to provide tailored recommendations. The responsibilities include delivering technical support, conducting equipment demonstrations, preparing proposals, and ensuring customer satisfaction. The candidate will also collaborate with internal teams to address client requirements and deliver quality service.<br><br> Qualifications<br> <br>Strong knowledge of Sales Engineering and an ability to provide technical guidance relating to specialized machinery and solutions. Proven expertise in Sales and Customer Service, with experience in building lasting client relationships and achieving sales targets. Strong Communication skills to present solutions effectively and address customer inquiries professionally. Ability to provide Technical Support for machinery installation, maintenance, and troubleshooting. Highly organized with attention to detail and ability to manage multiple client needs simultaneously. Relevant engineering degree or equivalent industry experience is preferred. Understanding of pharmaceutical production processes and regulatory requirements is an advantage. Proficiency in English and Arabic languages is beneficial for this role. Ability to work independently and as part of a collaborative team.

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> About the job Applied AI Engineer (AI-First / Vibe Coding) About the Role <p>We are looking for an <strong>Applied AI Engineer</strong> to design, build, and deploy intelligent AI solutions that solve real business challenges. In this role, you'll work with Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), GraphRAG, AI agents, and knowledge graphs to create scalable, production-ready AI applications.</p><br> <p>This is an <strong>AI-first engineering role</strong>, where leveraging AI development tools such as ChatGPT, Cursor, GitHub Copilot, Claude, or Windsurf is an essential part of the development workflow.</p><br> Key Responsibilities <ul><li>Design, develop, and deploy AI-powered applications using LLMs.</li><li>Build and optimize RAG and GraphRAG pipelines.</li><li>Develop AI agents and multi-agent workflows for business automation.</li><li>Design and manage knowledge graphs using GraphDB technologies.</li><li>Integrate enterprise data sources with AI applications.</li><li>Engineer prompts, workflows, and agent orchestration for reliable AI systems.</li><li>Evaluate and optimize AI models for quality, latency, scalability, and cost.</li><li>Build production-ready APIs and AI services.</li><li>Collaborate with cross-functional teams to deliver AI-driven products.</li><li>Stay up to date with the latest AI models, frameworks, and best practices.</li></ul> Requirements <ul><li>Bachelor's degree in Computer Science, Software Engineering, AI, or a related field.</li><li>3+ years of experience developing AI-powered or data-intensive applications.</li><li>Strong proficiency in Python.</li><li>Hands-on experience with LLMs (OpenAI, Azure OpenAI, Anthropic, Gemini, or similar).</li><li>Experience implementing Retrieval-Augmented Generation (RAG).</li><li>Experience with Graph Databases such as Neo4j, Amazon Neptune, Memgraph, or GraphDB.</li><li>Familiarity with vector databases such as Pinecone, Qdrant, Weaviate, Milvus, or pgvector.</li><li>Experience integrating AI models through APIs and SDKs.</li><li>Solid understanding of REST APIs, Git, Docker, and cloud platforms (Azure, AWS, or GCP).</li><li>Strong analytical, debugging, and problem-solving skills.</li></ul> Preferred Qualifications <ul><li>Experience with GraphRAG architectures.</li><li>Knowledge of AI agent frameworks such as LangGraph, CrewAI, AutoGen, Semantic Kernel, or OpenAI Agents SDK.</li><li>Experience with Model Context Protocol (MCP).</li><li>Prompt engineering and AI evaluation frameworks.</li><li>Knowledge of semantic search and hybrid retrieval.</li><li>Experience with FastAPI, Django, or Flask.</li><li>Familiarity with Kubernetes, CI/CD pipelines, and microservices.</li><li>Experience building knowledge graphs and ontology design.</li></ul> What We Offer <ul><li>Opportunity to build cutting-edge AI products.</li><li>Collaborative and innovative engineering environment.</li><li>Exposure to the latest AI technologies and frameworks.</li><li>Professional growth and continuous learning opportunities.</li><li>Competitive salary and benefits package.</li></ul> Join Our Team <p>If you're passionate about building practical AI applications, enjoy working with the latest AI technologies, and thrive in an AI-first development environment, we'd love to hear from you!</p><br> <br> <br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Talent 360 is looking for a " Senior Data Fabric &amp; AI Engineer" to join their growing team!<br> If you're passionate about artificial intelligence, modern data platforms, and building scalable data solutions, this is an excellent opportunity to advance your career in a dynamic and collaborative environment.<br> As a Senior AI &amp; Data Fabric Engineer , you will be responsible for designing, developing, and optimizing AI-powered data solutions and Data Fabric architectures.<br> You will build and maintain scalable data pipelines, integrate AI and machine learning capabilities into enterprise data platforms, and collaborate with cross-functional teams to deliver secure, high-performing, and data-driven solutions that support business and analytics initiatives.<br> Company Industry : Information Technology Services Location: Maadi - Cairo Working Hours: 9:00 AM to 5:00 PM.<br> Working Days: From Sun to Thu.<br> Benefits: Attractive salary - Social &amp; Medical insurance - Friendly Environment - Learning &amp; Development Opportunities - Other benefits Apply now to drive innovation and growth with our dynamic team!<br> Lead technical discovery and data maturity assessments with enterprise customers across Saudi Arabia and Egypt Design and present data platform architectures using modern tools (Microsoft Fabric, Azure Data Services, OpenMetadata, SQLMesh) Create compelling business cases that connect data governance and AI capabilities to measurable business outcomes Develop technical proposals, solution architectures, and pricing models for data and AI engagements Deliver demonstrations of AI agent workflows, agentic automation, and conversational data access patterns Support Microsoft co-sell motions for Azure AI, Microsoft Fabric, and Copilot-related opportunities Collaborate with the Product Developer to align presales demonstrations with current product capabilities Contribute to thought leadership content: whitepapers, case studies, and technical blog posts Track competitive landscape across data governance and AI platforms (Informatica, Collibra, Databricks, Coalesce) Job Qualifications: 3-5 years of experience in data engineering, data architecture, or AI/ML presales Understanding of modern data stack: data warehouses, data lakes, ETL/ELT pipelines, data governance Familier with data services (Azure Data Factory, Synapse, Microsoft Fabric, Purview or similar ) Familiarity with AI/ML concepts and practical applications in enterprise settings Experience creating data architecture diagrams and technical documentation Excellent presentation and storytelling skills, capable of translating technical concepts for executive audiences English and Arabic fluency</span> </div>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>About ServerHub: At ServerHub, we power businesses with high-performance cloud and hosting solutions. Our mission is to provide customers with reliable, scalable, and secure infrastructure worldwide. As an L3 Linux System Engineer, you will be at the forefront of our operations, ensuring our hosting platforms are optimized, secure, and always online.</p><p>Job Responsibilities:</p><ul><li>Escalation &amp; Troubleshooting: Act as the final escalation point (L3) for complex server, hosting, and network-related issues. Diagnose and resolve critical system failures, network outages, and performance issues.</li><li>Linux Server Administration: Manage, optimize, and secure Linux-based hosting environments (CentOS, Ubuntu, RHEL). Administer and fine-tune web servers (Apache, Nginx, LiteSpeed), databases (MySQL, PostgreSQL), and caching layers (Redis, Memcached). Build and deploy servers from the ground up, ensuring optimal configurations for performance and security.</li><li>Automation &amp; DevOps: Develop and maintain automation scripts (Bash, Python, Perl) for server provisioning and configuration management. Utilize Ansible, Terraform, or similar tools for automating infrastructure deployments.</li><li>Cloud &amp; Virtualization: Deploy and manage KVM, OpenStack, VMware, or containerized environments (Docker, Kubernetes). Support cloud-based hosting solutions (AWS, Google Cloud, Azure).</li><li>Security &amp; Compliance: Implement security best practices, including firewall rules, SELinux/AppArmor, IDS/IPS. Perform vulnerability assessments and patch management to secure customer environments.</li><li>Monitoring &amp; Incident Response: Set up and manage monitoring tools like Prometheus, Grafana, Zabbix, Nagios. Participate in 24/7 on-call rotation for urgent system issues.</li><li>Collaboration &amp; Mentoring: Work closely with NOC, DevOps, and Engineering teams to ensure smooth operations. Provide guidance and mentorship to L1 &amp; L2 support engineers.</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>11+ years of hands-on Linux system administration experience in a web hosting or cloud environment.</li><li>7+ years of experience in a Senior position or Level 3 Engineer role.</li><li>MUST be a KVM and Livbirt expert with a minimum of 7+ yrs of experience.</li><li>Expert knowledge of web hosting technologies (cPanel, Plesk, WHM, LAMP/LEMP stacks).</li><li>Strong scripting ability in Perl, Bash, and Python.</li><li>Experience with configuration management tools (Ansible, Puppet, Chef).</li><li>Networking expertise understanding of TCP/IP, DNS, VPN, Firewalls, Load Balancing.</li><li>Familiarity with RAID, SAN, NAS, and distributed storage systems.</li><li>Experience working in a 24/7 production environment with on-call duties.</li><li>Ability to build and configure servers from the ground up.</li><li>Certifications such as RHCE, AWS Certified SysOps Administrator, or Kubernetes (CKA) are a plus.</li><li>Good English Communication Skills</li></ul><p></p></section>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>About the Company CodeNinja is a global AI and engineering services company helping enterprises build, scale, and operate intelligent systems.<br> With 350+ engineers across four continents and 400+ successful deployments, CodeNinja enables organizations to harness artificial intelligence through Global Capability Centers, Work AI, Physical AI, and AI Labs.<br> Recognized among Pakistan’s fastest-growing AI firms and a multi-award recipient on Clutch, CodeNinja empowers over 250 clients worldwide to innovate, automate, and compete in the intelligence economy.<br> About the role We are looking for a hands-on AI Engineer responsible for designing, developing, and operating AI-powered software systems that deliver immediate, real-world value.<br> This role sits at the intersection of software engineering , product engineering , and applied artificial intelligence , with a strong focus on practical implementation rather than research or theoretical model development.<br> As part of CodeNinja’s AI-first operating model , you will leverage LLMs , AI agents , and automation to fundamentally improve how software is built, deployed, and operated.<br> Key Responsibilities Prompt Engineering: Design, test, and optimize complex prompts for accurate financial text and data extraction.<br> Data Visualization: Command generative AI tools and programmatic code to output rich analytics charts.<br> Process Automation: Build autonomous LLM workflows and agents to replace manual reporting processes.<br> Model Customization: Fine-tune or apply RAG (Retrieval-Augmented Generation) to models using financial documentation.<br> Data Processing: Clean, manipulate, and restructure raw financial files into optimized prompt payloads.<br> Experience: 3+ years in AI, data science and software engineering, with practical experience in banking projects.<br> Core Languages: Advanced Python (Pandas, NumPy, Matplotlib, Seaborn, LangChain, LlamaIndex).<br> AI Tooling: Extensive hands-on experience with commercial LLMs, vector databases, and DataRobot, SAS EG .<br> Why Join Us Work at the forefront of AI-first software engineering , redefining how software is built today.<br> Build real, production-grade AI-enabled systems with measurable impact.<br> Operate with high ownership and autonomy, amplified by powerful AI tools.<br> Collaborate with talented engineers and product leaders in an innovation-driven environment.<br> Be part of a culture that values execution , learning , and engineering excellence .<br> Disclaimer CodeNinja is an equal opportunity employer.<br> We celebrate diversity and are committed to creating an inclusive environment for all employees.<br> All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, and performance.<br> Female and minorities are strongly encouraged and preferred to apply for the role.<br></span> </div>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Key Responsibilities Lead the entire ML lifecycle from data collection and analysis to model deployment, monitoring, and optimization. Apply deep learning and NLP techniques to develop solutions, potentially enhancing systems like search or recommendation engines. Design and implement end-to-end ML pipelines, incorporating MLOps best practices for CI/CD, containerization (Docker, Kubernetes), and cloud deployment ( AWS , GCP, Azure). Utilize LLM knowledge, including prompt engineering and fine-tuning, to build advanced generative AI applications and conversational AI solutions. Perform comprehensive data analytics, including statistical analysis and feature engineering, to inform model development and extract actionable insights from large datasets. Write production-quality, robust code in Python (and potentially other languages like Java or Scala), ensuring code quality through reviews and testing. Collaborate with cross-functional teams, including data scientists, data engineers, and product managers, to translate business requirements into technical ML solutions.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>Proven experience as a Machine Learning Engineer with a strong portfolio of deployed production models. Proficiency in Python and relevant ML frameworks/libraries (e.g., TensorFlow, PyTorch, scikit-learn). Expertise in data science methodologies, statistical analysis, and data analytics. Hands-on experience with MLOps tools and practices for managing the ML application lifecycle. Strong understanding of NLP and experience with LLMs and prompt engineering techniques. Solid software engineering background with knowledge of data structures, algorithms, and system design. Excellent problem-solving, communication, and collaboration skills.</p><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>The Software Engineer designs, develops, and maintains scalable, secure, and high-quality software solutions across backend and frontend components. This role collaborates closely with cross-functional teams to deliver reliable applications, support cloud deployment, and continuously improve performance, quality, and operational stability.</p><p>Responsibilities:</p><ul><li>Design, develop, and maintain scalable software solutions across backend and frontend components.</li><li>Build and consume APIs and services using modern programming languages and frameworks.</li><li>Collaborate with product managers, designers, and engineers to translate requirements into technical solutions.</li><li>Write clean, maintainable, and well-tested code following engineering best practices.</li><li>Optimize application performance, security, and reliability.</li><li>Participate in code reviews, testing, and continuous improvement initiatives.</li><li>Support deployment, monitoring, and troubleshooting of applications in cloud environments.</li><li>Contribute to documentation, technical standards, and knowledge sharing within the team.</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>Bachelor s degree in Computer Science, Engineering, or a related field (or equivalent experience). 4+ years of experience in software development (frontend, backend, or full stack). Outstanding English communication, both verbal and non-verbal. Proficiency in at least one backend language (e.g., Python, TypeScript, Go) and modern frontend frameworks. Experience with RESTful APIs and database technologies (SQL and/or NoSQL). Familiarity with cloud platforms (Azure or AWS) and CI/CD pipelines. Understanding of version control systems (Git) and collaborative development workflows. Knowledge of testing practices, software design principles, and security fundamentals. Strong problem-solving skills, communication abilities, and a collaborative mindset. Fluency in English is a must.</p><p></p></section>

Job Summary We are seeking a Network Engineer to support SD-WAN and network security initiatives, including assisting with migrations from Cisco SD-WAN environments to Palo Alto solutions. This role will focus on implementation support, configuration, troubleshooting, and day-to-day network operations in collaboration with senior engineers and cross-functional teams. Responsibilities Assist with the migration of Cisco Viptela or Cisco Meraki SD-WAN environments to Palo Alto solutions. Configure, monitor, and maintain network and security devices. Support network troubleshooting and resolve connectivity or performance issues. Work with internal teams to ensure smooth deployment and implementation activities. Assist in maintaining network documentation, configurations, and diagrams. Monitor network performance and escalate complex issues when needed. Support security and compliance best practices across the network environment. Participate in after-hours maintenance windows when required. Qualifications2–4 years of experience in network engineering or network support roles. Hands-on experience with at least some of the following technologies:Cisco Meraki Cisco SD-WAN/Viptela Basic wireless networking Understanding of routing, switching, TCP/IP, and network troubleshooting. Familiarity with network security concepts and firewall policies. Ability to follow implementation plans and work collaboratively with senior engineers. Good communication and documentation skills. Associate-level certifications such as CCNA, PCNSA, or equivalent are a plus, but not required. Preferred Skills Experience supporting SD-WAN environments. Exposure to cloud networking or SASE solutions. Experience working in enterprise or MSP environments.

Platform Engineer – CI/CD Gate & Online Evaluation<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 transformation journey, the company is introducing a portfolio of Reduced-Risk Products (RRPs) for more than one billion consumers worldwide. Intellia supports the customer by engineering a comprehensive software ecosystem powering innovative IoT products, digital experiences, and enterprise platforms. Our teams build core platform components for e Commerce, Digital Marketing, IoT, and Digital Engineering solutions. As a Platform Engineer – CI/CD Gate & Online Evaluation, you will join the Core Architecture Team and play a key role in enabling reliable, scalable, and governed AI deployments by integrating automated quality evaluation into enterprise CI/CD pipelines and production environments. The platform consists of shared services and applications that accelerate software delivery by addressing common SDLC challenges while providing engineering teams with standardized technologies, best practices, governance, and compliance capabilities.<br>About the Role We are looking for a Platform Engineer – CI/CD Gate & Online Evaluation to help establish automated quality controls for enterprise AI platforms and agent-based systems. In this role, you will integrate evaluation workflows into deployment pipelines, configure online quality monitoring, and build operational visibility for AI performance, reliability, and compliance. Working closely with Platform Engineers, Dev Ops Engineers, AI Engineers, and Governance teams, you will ensure AI agents meet quality standards before deployment and continue to perform reliably in production.<br>Responsibilities Design and implement CI/CD quality gates using AWS Agent Core Evaluation to validate AI agents and workflows before deployment. Integrate evaluation execution into Git Hub Actions and deployment pipelines to automate release decisions. Configure and maintain on-demand evaluation workflows for pre-release quality validation and regression detection. Implement and manage online evaluation capabilities, including production sampling strategies and evaluation scheduling. Build Amazon Cloud Watch dashboards to visualize evaluation scores, quality trends, and AI agent performance over time. Configure Cloud Watch alarms and notifications to detect quality degradation, performance regressions, and operational issues. Collaborate with AI Engineering teams to define evaluation thresholds, release criteria, and quality acceptance standards. Integrate evaluation results into enterprise monitoring, observability, and operational reporting workflows. Analyze evaluation outcomes to identify regressions across AI agent versions, prompts, tools, and workflows. Develop automation that enables continuous validation of AI systems throughout the software development lifecycle. Partner with Platform Engineering and Dev Ops teams to improve deployment safety, operational readiness, and governance controls for AI workloads. Contribute to enterprise AI quality engineering standards, deployment best practices, and monitoring frameworks.<br>Requirements Experience Bachelor's degree in Computer Science, Software Engineering, Information Technology, or a related field.4+ years of experience in Platform Engineering, Dev Ops Engineering, Site Reliability Engineering (SRE), or Cloud Engineering. Hands-on experience designing and maintaining CI/CD pipelines. Experience implementing deployment quality gates and release automation. Experience designing Cloud Watch dashboards, alarms, and monitoring solutions. Experience working with AWS cloud services in production environments. Technical Skills AWS Agent Core Evaluation API (Create Evaluation) for on-demand evaluation workflows. Git Hub Actions integration for automated deployment pipelines. CI/CD pipeline automation and release orchestration. Online evaluation configuration, including production sampling strategies. Amazon Cloud Watch dashboards, metrics, alarms, and monitoring. Quality gate implementation and automated deployment validation. Observability and operational monitoring. Regression detection and release validation. Infrastructure automation and scripting. Git version control and modern Dev Ops practices.<br>Nice to Have Experience with AWS Agent Core Evaluation online mode and sampling configuration. Experience comparing AWS Agent Core Runtime versions using automated evaluation for regression detection. Experience with Cloud Watch Embedded Metric Format (EMF) for structured evaluation metrics. Familiarity with enterprise AI governance and Responsible AI practices. Experience supporting AI platforms, LLM applications, or agent-based systems. Knowledge of Infrastructure as Code (Terraform, AWS Cloud Formation, or AWS CDK).<br>Why Join Us? Help build enterprise-scale AI quality engineering and deployment standards. Work with cutting-edge AI platforms, cloud-native technologies, and Dev Ops automation. Design automated quality gates that improve the reliability and safety of AI systems. Collaborate with highly skilled Platform, AI, Dev Ops, and Cloud Engineering teams. Make a direct impact on the delivery of enterprise AI solutions used 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.

Software Development Engineer in Test (SDET) – Web, Mobile & AI-Assisted Quality Engineering<br>About the Role We are seeking a highly skilled Software Development Engineer in Test (SDET) to help evolve and scale quality engineering practices for a large-scale photo and media hosting platform across web and mobile applications. Our team is transitioning toward a modern, automation-first and AI-assisted quality engineering model while maintaining the flexibility to perform hands-on manual testing when required. This role combines strong software engineering expertise with practical quality assurance experience and offers the opportunity to influence the future of testing through automation, AI-assisted workflows, and quality engineering best practices. The ideal candidate is passionate about software quality, comfortable building and maintaining test automation frameworks, experienced with modern web and mobile technologies, and capable of leveraging AI tools to accelerate testing activities while ensuring reliability and accuracy.<br>Project Overview The project focuses on enhancing and scaling engineering processes for a leading photo and media hosting platform across web and mobile applications. You will work closely with software engineers, product managers, and QA stakeholders to improve product quality, automation coverage, release confidence, and AI-assisted testing workflows.<br>Key Responsibilities Design, develop, and maintain scalable automated test frameworks and infrastructure. Build and maintain automated test suites for web, mobile, API, and end-to-end user workflows. Develop and expand mobile automation coverage using Maestro. Create and maintain web automation suites using modern automation tools such as Playwright and Meticulous. Support AI-assisted test authoring workflows, including prompt engineering and agent skill maintenance. Review, validate, troubleshoot, and optimize AI-generated test cases and automation outputs. Perform exploratory, regression, release, and manual testing activities when necessary. Collaborate with developers to improve application testability and automation coverage. Integrate automated testing into CI/CD pipelines and release processes. Investigate, diagnose, and resolve issues across application, infrastructure, and automation layers. Contribute to quality engineering standards, automation best practices, and continuous process improvements. Partner closely with software engineers, product managers, and QA stakeholders to drive product quality initiatives.<br>Required Qualifications Strong experience with Type Script. Strong software engineering and coding skills. Proven ability to design, develop, and maintain automation frameworks independently. Experience testing modern web applications and React Native mobile applications. Hands-on experience with web automation tools such as Playwright and/or Meticulous. Experience with mobile automation tools, including Maestro. Experience using AI-assisted development and testing tools such as Git Hub Copilot, Claude, or similar platforms. Ability to review, validate, troubleshoot, and improve AI-generated test artifacts. Understanding of prompt engineering, agent-based workflows, and AI-assisted testing methodologies. Hands-on experience with manual QA, exploratory testing, and regression testing. Strong understanding of software testing methodologies, SDLC, and quality engineering principles. Experience testing APIs and backend integrations. Experience working with CI/CD platforms such as Git Hub Actions, Jenkins, Circle CI, or similar tools. Strong knowledge of Git and modern software development workflows. Excellent debugging, analytical, and problem-solving skills. Experience working within Agile development environments.<br>Preferred Qualifications Experience building automation frameworks from the ground up. Experience testing native Android and i OS applications. Hands-on experience with Appium, Detox, or advanced Playwright implementations. Knowledge of test architecture, automation design patterns, and quality engineering best practices. Experience implementing AI-assisted QA workflows within engineering organizations. Previous experience in SDET, Automation QA Engineer, or Quality Engineering roles. Experience working in large-scale consumer-facing platforms or Saa S products.<br>Why Join Us? Work on a large-scale photo and media hosting platform used by a global audience. Help shape the future of AI-assisted quality engineering and test automation. Influence automation strategy across both web and mobile ecosystems. Collaborate with experienced engineers in a modern, quality-focused environment. Contribute to innovative testing practices that improve release confidence, product quality, and engineering efficiency. Opportunity to work with cutting-edge automation frameworks, AI tools, and modern development practices.

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Every great product is built on quality—and every exceptional release starts with someone who refuses to let the details slip.<br> If you thrive on uncovering edge cases, validating complex user journeys, and ensuring software performs exactly as intended, this opportunity was designed for you.<br> Our client, an innovative SaaS company, is looking for a QA Engineer to take ownership of quality assurance for a key web-based platform during an exciting project-based engagement.<br> This is a remote, one-time contract offering the opportunity to make a tangible impact on a live product, with the potential for future collaborations based on performance and upcoming projects.<br> Why This Opportunity Matters Quality isn't the final step in development; it's what defines the user experience.<br> As the QA Engineer on this project, you'll play a critical role in ensuring that every feature released meets the highest standards of functionality, reliability, and usability.<br> You'll work across complete product workflows, validating both customer-facing and administrative experiences while partnering closely with Product and Engineering teams to deliver confident, high-quality releases.<br> Your work will directly influence product stability, customer satisfaction, and the overall success of the platform.<br> About Our Client Our client is a growing SaaS organization focused on building reliable, user-centric AI solutions.<br> They believe exceptional AI products are created through close collaboration, continuous improvement, and a strong commitment to quality at every stage of development.<br> Working alongside a collaborative product and engineering team, you'll contribute to meaningful product releases while helping shape a seamless experience for end users.<br> What's In It For You The opportunity to own quality assurance for a meaningful SaaS product.<br> Close collaboration with experienced Product and Engineering teams.<br> Exposure to complex user workflows and modern web application testing.<br> A fully remote, project-based engagement offering flexibility and meaningful technical impact.<br> The possibility of future project-based collaborations based on your performance and business needs.<br> Engagement Details Position: QA Engineer Industry: SaaS Employment Type: Contract – One-Time Project-Based Engagement Location: Egypt (Remote) Ready to Make Quality Your Signature?<br> If you're passionate about delivering exceptional software experiences, enjoy solving complex testing challenges, and want your work to have a direct impact on product success, we'd love to hear from you.<br> Apply today and help deliver AI Solutions that users can trust from the very first click.<br> What You'll Own As the QA Engineer for this engagement, you'll take ownership of the testing process from planning through release validation.<br> You'll ensure every feature performs as expected while proactively identifying opportunities to improve product quality.<br> In this role, you will: Execute comprehensive end-to-end, functional, regression, and exploratory testing across the platform.<br> Validate complete user journeys spanning both customer-facing and administrative experiences.<br> Design and maintain structured test cases, testing checklists, and detailed test scenarios.<br> Identify, reproduce, prioritize, and clearly document software defects with well-defined expected and actual results.<br> Verify bug fixes and perform regression testing to ensure new enhancements don't introduce unintended issues.<br> Collaborate closely with Product Managers, Engineers, and cross-functional stakeholders to clarify requirements and strengthen release quality.<br> Test complex workflows involving multiple user roles, permissions, and business processes.<br> Provide actionable feedback that enhances usability, functionality, and the overall user experience.<br> Help ensure every release meets quality expectations before deployment.<br> What Makes You Successful You'll thrive in this role if you're naturally curious, analytical, and passionate about delivering software that users can trust.<br> We're looking for someone who brings: 2–4 years of hands-on experience in Software Quality Assurance, primarily within web applications.<br> Strong expertise in end-to-end, functional, regression, and exploratory testing methodologies.<br> The ability to create clear, structured test scenarios, comprehensive test cases, and detailed bug reports.<br> Exceptional attention to detail with a methodical approach to problem-solving.<br> Experience testing platforms that include multiple workflows, user roles, permissions, and interconnected features.<br> Confidence evaluating both individual features and complete business processes from an end-user perspective.<br> Familiarity with API testing and a solid understanding of backend systems and integrations.<br> Strong communication skills and the ability to collaborate effectively within cross-functional Agile teams.<br> Experience working in fast-paced product environments where quality and speed go hand in hand.<br> You'll stand out even further if you have experience with tools such as Jira, TestRail, Azure DevOps, or similar testing platforms, along with exposure to browser developer tools, REST APIs, or automation testing frameworks.<br></span> </div>

Senior Machine Learning Engineer (Generative AI)<br>About the Role We are looking for a Senior Machine Learning Engineer to support the development of AI-driven solutions within the Global Digital Marketing team of a leading agricultural company. In this role, you will design and implement intelligent applications powered by Generative AI, Large Language Models (LLMs), and AI agents, helping to automate business processes and enhance digital marketing capabilities. You will collaborate with cross-functional teams to build scalable AI solutions, integrate enterprise data sources, and deliver production-ready applications using modern AI frameworks and cloud technologies. This is an exciting opportunity to work on innovative AI initiatives that drive business transformation at a global scale.<br>Project Overview Our customer is a global leader in the agricultural industry, committed to driving innovation through digital transformation and advanced AI technologies. The Global Digital Marketing team is building next-generation AI solutions that improve customer engagement, automate business processes, and enable intelligent decision-making across enterprise platforms. As a Senior Machine Learning Engineer, you will play a key role in designing and delivering enterprise-grade Generative AI applications, intelligent agents, and Retrieval-Augmented Generation (RAG) solutions integrated with large-scale enterprise systems.<br>Key Responsibilities Design, develop, and deploy scalable LLM-based intelligent agents and AI-powered applications. Design conversational AI solutions and contribute to solution architecture. Build Retrieval-Augmented Generation (RAG) pipelines using vector databases and semantic search techniques. Integrate Large Language Models with enterprise data sources and APIs. Develop semantic workflows using frameworks such as Lang Chain, Lang Graph, Semantic Kernel, and Copilot Studio. Automate internal business processes using n8n and AI-powered workflows. Collaborate with Dev Ops, backend engineers, product owners, and business stakeholders to deliver production-ready AI solutions. Optimize prompt engineering strategies, model performance, and AI application quality. Contribute to AI deployment best practices, model evaluation, and continuous improvement initiatives. Support the adoption of modern AI development tools and engineering practices.<br>Required Qualifications Education Bachelor's degree in computer science, Artificial Intelligence, Software Engineering, Data Science, or a related technical field. Technical Skills Proven experience developing and deploying Generative AI or LLM-based applications. Strong prompt engineering skills using Large Language Models such as:Open AIAzure Open AIClaude LLaMAExperience with AWS AI services, including:Amazon Bedrock Agent Core Hands-on experience with:Lang Chain Lang Graph Similar LLM orchestration frameworks Strong understanding of:Retrieval-Augmented Generation (RAG) Semantic Search Vector Embeddings Vector Databases Experience designing and consuming REST APIs and microservices. English proficiency at B2 level or higher, with the ability to communicate effectively with international stakeholders. Professional Experience Proven experience delivering production-ready AI and Machine Learning solutions. Experience integrating AI applications with enterprise systems and business workflows. Strong software engineering and problem-solving skills. Experience collaborating within Agile development teams.<br>Nice to Have Experience with n8n workflow automation. Semantic Kernel. Microsoft Copilot Studio. Experience supporting Digital Marketing solutions or Mar Tech platforms. SQL proficiency. Experience using AI-assisted development tools such as:Claude Code Git Hub Copilot Similar AI coding assistants Experience with MLOps or AI deployment pipelines.<br>Why Join Us? Join a global team delivering innovative AI solutions for one of the world's leading agricultural companies. Work with cutting-edge Generative AI technologies, intelligent agents, and enterprise-scale AI platforms. Collaborate with experienced AI engineers, architects, and business stakeholders on impactful digital transformation initiatives. Gain hands-on experience building production-ready AI systems using the latest cloud and LLM technologies. Enjoy excellent opportunities for professional growth while expanding your expertise in Machine Learning, MLOps, and enterprise AI engineering.

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Talent 360 is looking for a " Senior Data Fabric &amp; AI Engineer" to join their growing team! If you're passionate about artificial intelligence, modern data platforms, and building scalable data solutions, this is an excellent opportunity to advance your career in a dynamic and collaborative environment. As a Senior AI &amp; Data Fabric Engineer , you will be responsible for designing, developing, and optimizing AI-powered data solutions and Data Fabric architectures. You will build and maintain scalable data pipelines, integrate AI and machine learning capabilities into enterprise data platforms, and collaborate with cross-functional teams to deliver secure, high-performing, and data-driven solutions that support business and analytics initiatives.</p><p>Lead technical discovery and data maturity assessments with enterprise customers across Saudi Arabia and Egypt</p><p>Design and present data platform architectures using modern tools (Microsoft Fabric, Azure Data Services, OpenMetadata, SQLMesh)</p><p>Create compelling business cases that connect data governance and AI capabilities to measurable business outcomes</p><p>Develop technical proposals, solution architectures, and pricing models for data and AI engagements</p><p>Deliver demonstrations of AI agent workflows, agentic automation, and conversational data access patterns</p><p>Support Microsoft co-sell motions for Azure AI, Microsoft Fabric, and Copilot-related opportunities</p><p>Collaborate with the Product Developer to align presales demonstrations with current product capabilities</p><p>Contribute to thought leadership content: whitepapers, case studies, and technical blog posts</p><p>Track competitive landscape across data governance and AI platforms (Informatica, Collibra, Databricks, Coalesce)</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>3-5 years of experience in data engineering, data architecture, or AI/ML presales</li><li>Understanding of modern data stack: data warehouses, data lakes, ETL/ELT pipelines, data governance</li><li>Familier with data services (Azure Data Factory, Synapse, Microsoft Fabric, Purview or similar )</li><li>Familiarity with AI/ML concepts and practical applications in enterprise settings</li><li>Experience creating data architecture diagrams and technical documentation</li><li>Excellent presentation and storytelling skills, capable of translating technical concepts for executive audiences</li><li>English and Arabic fluency</li></ul><p></p></section>

Senior Python Backend Engineer (AWS Agent Core, Multi-Agent Integration)<br>About the Role We are looking for a Senior Python Backend Engineer to design, build, and integrate backend services that enable secure and scalable agent-to-agent (A2A) communication on AWS Agent Core platforms. In this role, you will develop high-performance backend services, implement modern communication protocols, and build the infrastructure that powers intelligent multi-agent ecosystems. The ideal candidate has strong Python backend engineering experience, expertise in asynchronous and event-driven architectures, and hands-on knowledge of API design, distributed systems, and modern agent integration patterns.<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 Senior Python Backend 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, cloud technologies, governance standards, and operational best practices that accelerate software delivery across more than 700 enterprise applications.<br>Responsibilities Design, develop, and maintain backend services using Python and the AWS Agent Core SDK. Build and integrate Agent-to-Agent (A2A) communication using AWS Agent Core Runtime and Gateway. Implement agent registration, discovery, target configuration, and lifecycle management. Develop and maintain Agent Card definitions and .well-known/agent.json endpoints. Implement A2A communication protocols using JSON-RPC 2.0 and event-driven architectures. Design and support communication workflows between caller and target agents. Develop asynchronous communication using Server-Sent Events (SSE), webhooks, and push notifications. Build scalable REST APIs and backend services that enable secure and reliable agent interaction. Implement event lifecycle management, task status tracking, and execution monitoring. Ensure high availability, scalability, security, and performance across distributed backend services. Collaborate with AI, platform, Dev Ops, and security teams to support enterprise multi-agent integration. Troubleshoot, test, monitor, and optimize backend services in production environments. Produce technical documentation, API specifications, and integration standards for agent connectivity.<br>Requirements Bachelor's degree in computer science, Software Engineering, or a related field.5+ years of professional backend development experience using Python or Go. Strong experience developing asynchronous backend applications using Python. Experience designing and implementing REST APIs, including endpoint development and API routing. Experience with AWS Agent Core Runtime, Agent Core Gateway, or similar agent integration platforms. Experience implementing Agent-to-Agent (A2A) communication patterns. Knowledge of JSON-RPC 2.0, Server-Sent Events (SSE), webhooks, and event-driven architectures. Experience developing Agent Card JSON schemas and implementing .well-known/agent.json endpoints. Strong understanding of microservices, distributed systems, and backend integration patterns. Excellent problem-solving, communication, and collaboration skills.<br>Nice to Have Experience validating AWS Agent Core Gateway template integrations. Experience with AWS Bedrock multi-agent invocation patterns. Hands-on experience implementing SSE task lifecycle events and push notification workflows. Experience with Open Telemetry and distributed tracing using AWS Distro for Open Telemetry (ADOT). Familiarity with observability, monitoring, CI/CD pipelines, and cloud-native backend architectures.<br>Why Join UsBuild the backend infrastructure powering next-generation enterprise AI and multi-agent systems. Work with cutting-edge AWS Agent Core technologies and modern distributed architectures. Collaborate with experienced AI, platform, and cloud engineering teams on global-scale solutions. Contribute to engineering standards, integration frameworks, and best practices for enterprise AI platforms. Play a key role in shaping scalable, secure, and production-ready agent communication services.

Egybell is hiring a Junior Sales Engineer for a Leading consultations company located in 6th of October / Sadat city <br>Duties & responsibilities:<br>Identify and develop new business opportunities. Build and maintain strong relationships with clients and consultants. Understand customer requirements and recommend suitable technical solutions. Prepare technical and commercial proposals, quotations, and tender documents. Conduct product presentations and technical demonstrations. Negotiate pricing and contract terms with customers. Coordinate with engineering and operations teams to ensure successful project execution. Follow up on sales leads and maintain an active sales pipeline. Achieve assigned sales targets and business objectives. Provide pre-sales and post-sales technical support. Monitor market trends, competitor activities, and customer feedback. Prepare regular sales reports and forecasts. Ensure customer satisfaction and maintain long-term client relationships. Attend meetings, exhibitions, and industry events as required. Comply with company policies and quality standards.<br>Job requirements: From 6 Months to 2 years of experience (Industry background), however, fresh applicants are welcome. A bachelor’s degree in Engineering is preferred.

Egybell is hiring a Sales Engineer for a Leading engineering and management consulting firm specializing in advanced industrial solutions, plant optimization, and turnkey construction services.<br>Location: 10th Ramadan & Badr City.<br>Duties & responsibilities:<br>Identify and develop new business opportunities. Build and maintain strong relationships with clients and consultants. Understand customer requirements and recommend suitable technical solutions. Prepare technical and commercial proposals, quotations, and tender documents. Conduct product presentations and technical demonstrations. Negotiate pricing and contract terms with customers. Coordinate with engineering and operations teams to ensure successful project execution. Follow up on sales leads and maintain an active sales pipeline. Achieve assigned sales targets and business objectives. Provide pre-sales and post-sales technical support. Monitor market trends, competitor activities, and customer feedback. Prepare regular sales reports and forecasts. Ensure customer satisfaction and maintain long-term client relationships. Attend meetings, exhibitions, and industry events as required. Comply with company policies and quality standards.<br>Job requirements: Bachelor’s degree in engineering is preferred. Min 2 years of experience (Construction & engineering background). Fresh applicants are welcome to apply.

Location: Fifth Settlement / Sheikh Zayed Experience: 5–8 years<br>We are looking for a Senior Technical Office Engineer with an architectural background and solid experience in finishing and fit-out projects.<br>Responsibilities:<br>* Prepare, review, and coordinate architectural shop drawings.* Coordinate drawings with site teams and other disciplines.* Review drawings, specifications, BOQs, and project requirements.* Prepare quantity take-offs and material submittals.* Handle RFIs, technical clarifications, and drawing revisions.* Coordinate with consultants, subcontractors, and suppliers.* Support the site team in resolving technical issues.* Prepare and maintain as-built drawings and technical documentation.* Review quantities and supporting documents for invoices and payment applications.* Assist with variations and additional works when required.<br>Requirements:<br>* Bachelor’s degree in Architecture.* 5–8 years of relevant experience in technical office work, preferably in finishing/fit-out.* Very good knowledge of Auto CAD.* Good understanding of construction drawings and architectural details.* Experience with shop drawings, quantity take-offs, material submittals, and invoicing documentation.* Good communication and coordination skills.

We are looking for an experienced Senior ELV Pre-Commissioning & Commissioning Engineer to join our team.<br>Key Responsibilities:<br>•⁠ ⁠Perform pre-commissioning inspections and system readiness checks.•⁠ ⁠Commission, configure, test, and troubleshoot ELV systems, including CCTV, Access Control, PAVA, Intrusion, Intercom, Structured Cabling, and System Integration.•⁠ ⁠Conduct integrated system testing (IST), witness testing, and project handover.•⁠ ⁠Prepare commissioning documentation, test reports, O&M manuals, and as-built drawings.•⁠ ⁠Coordinate with clients, consultants, subcontractors, and project teams to ensure successful project delivery.<br>Requirements:<br>•⁠ ⁠Bachelor's degree in Electrical, Electronics, or Computer Engineering.•⁠ ⁠7+ years of experience in ELV commissioning.•⁠ ⁠Strong networking knowledge (TCP/IP, VLANs, Layer 2/Layer 3 Switching, Routing, Fibre Optics, Network Troubleshooting).•⁠ ⁠Experience with IP-based security systems and major ELV platforms.•⁠ ⁠Excellent troubleshooting, communication, and documentation skills.<br>If you meet the above qualifications and are ready to work on challenging, large-scale projects, we'd love to hear from you. Please upload your CV as a PDF only*

Samcon Construction is looking for a highly experienced Senior Planning Engineer to join our growing team. If you have a strong background in civil engineering project planning and a proven track record managing complex projects, we want to hear from you.<br>Key Responsibilities:Develop master plans and work programs for projects and follow up on their implementation. Monitor project progress and update baseline programs and critical path analysis. Prepare periodic reports including monthly, weekly, and progress reports, as well as final project reports. Track and follow up on project contracts and subcontracts. Prepare and document meeting minutes. Support cost management, quality control, and compliance with project specifications.<br>Requirements:Bachelor's degree in civil engineering or construction management10–12 years of relevant experience in project planning English (Fluent)<br>Technical Skills:Primavera P6MS Office Auto CADProject Scheduling Critical Path Method Progress Reporting Cost Control<br>Details:Location: El-Sheikh Zayed City Working hours: from 9:00 AM to 5:00 PMDays off: Friday<br>You can share your updated CV to cvs@samconeg.com