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senior full stack developer, ai4all

senior software engineer

ai automation engineer light

Valeo

<div>
 Responsibilities Cross-Disciplinary Automation
 
 :
 
 Design and implement AI workflows that bridge the gap between Systems Engineering and downstream disciplines (HW, SW, Mech) to ensure seamless requirements traceability and consistency.
 
 
 Physics-Informed Modeling: Develop and deploy Physics-Informed Machine Learning (PIML) models to accelerate simulations in Mechanics and Electrotechnique.
 
 
 
 AI-Enhanced System Engineering
 
 : Integrate AI-assisted coding, automated unit testing, and bug prediction tools into the software development pipeline in compliance with ASPICE standards.
 
 
 
 Predictive Project Management
 
 : Build predictive analytics dashboards for Technical Project Managers to forecast resource bottlenecks, budget risks, and milestone delays using historical project data.
 
 
 
 Standards &amp; Compliance:
 
 Ensure all AI-automated processes and generated outputs adhere to ISO 26262 (Functional Safety) and ISO/SAE 21434 (Cybersecurity) requirements.
 
 
 
 Toolchain Integration
 
 : Lead the integration of AI agents with existing toolchains, including PLM, ALM (Codebeamer), and MATLAB/Simulink.
 
 
 Key competencies
 
 Technical Skills
 
 
 
 AI and Machine Learning
 
 
 <ul>
 <li>
 Generative AI &amp; LLMs
 </li>
 <li>
 Predictive Modeling
 </li>
 <li>
 Computer Vision
 
 
 </li>
 </ul>
 Data Engineering and Management
 
 
 <ul>
 <li>
 Data Pipeline Construction: Automating the flow of data into AI models.
 </li>
 <li>
 Data Quality Assurance: Cleaning and labeling datasets to ensure the AI isn't learning from "noise."
 
 
 </li>
 </ul>
 
 Process Automation &amp; Integration (MLOps)
 
 
 
 <ul>
 <li>
 Workflow Orchestration: Using tools to connect AI outputs to other R&amp;D software (like ELNs or LIMS).
 </li>
 <li>
 Deployment: Ensuring the AI tools are accessible via user-friendly interfaces.
 
 
 </li>
 </ul>
 
 Programming &amp; Scripting
 
 
 
 <ul>
 <li>
 Python
 </li>
 <li>
 Javascript / Google Apps Script
 </li>
 <li>
 Google Docs / Sheets functions &amp; automation
 </li>
 <li>
 HTTP rest API's
 
 
 </li>
 </ul>
 Tooling &amp; ALM: ( Plus Knowledge)
 
 
 <ul>
 <li>
 Codebeamer (Requirement Management Tool)
 </li>
 <li>
 Google Cloud Platform
 
 
 </li>
 </ul>
 Automation &amp; Integration concepts
 
 
 <ul>
 <li>
 AI &amp; Data Handling:
 </li>
 <li>
 Basic to intermediate experience with AI tools, APIs, or AI agents
 </li>
 <li>
 Interest in applying AI to engineering processes
 
 
 </li>
 </ul>
 Soft Skills
 
 
 <ul>
 <li>
 Strong communication and collaboration skills, including ability to translate technical AI capabilities into tangible benefits for the teams
 </li>
 <li>
 Ability to work autonomously and proactively
 </li>
 <li>
 Analytical mindset with strong problem-solving skills
 </li>
 <li>
 User-oriented mindset (training, support, feedback handling)
 </li>
 <li>
 Time Managment
 
 
 </li>
 </ul>
 Nice to Have
 
 
 Experience with requirement traceability or compliance activities
 
 
 Exposure to AI-assisted automation or low-code/no-code platforms
 
 
 Physics-Informed Machine Learning (PIML)
 
 
 Predictive Project Analytics
 
 
 Understanding of system engineering lifecycle and deliverables
 
 
 
 Aware About Automotive Industry And Embedded Systems.
 
 
 
 Years of Experience 2 to 3 years experience in AI &amp; tools development
</div>

AI & Automation Engineer, LIGHT

<div>
 
 The
 
 Senior Fullstack Engineer
 
 is a key contributor within the
 
 TP.ai FAB
 
 ecosystem, responsible for building robust, scalable, and secure software solutions that integrate with AI and data-driven components.
 
 
 This role focuses on hands-on development across both front-end and back-end layers, ensuring interoperability, performance, and user experience across FAB&rsquo;s modular architecture.
 
 
 The engineer collaborates with peers, architects, and AI teams to deliver production-ready applications that align with Teleperformance&rsquo;s design, security, and global delivery standards.
 
 
 
 
 
 &bull; End-to-End Development
 
 
 <ul>
 <li>
 Develop, test, and deploy fullstack applications, microservices, and APIs integrated with FAB&rsquo;s data and AI components.
 </li>
 <li>
 Implement responsive, modular front-end interfaces using modern JavaScript frameworks.
 </li>
 <li>
 Maintain high code quality, scalability, and performance across distributed systems.
 </li>
 </ul>
 
 
 &bull; Collaboration &amp; Delivery
 
 
 <ul>
 <li>
 Work closely with Software Architects, Data Engineers, and Product Managers to translate requirements into efficient solutions.
 </li>
 <li>
 Participate in design reviews, sprint planning, and daily scrums within agile squads.
 </li>
 <li>
 Support integration of AI APIs, automation services, and analytics dashboards.
 </li>
 </ul>
 
 
 &bull; Quality &amp; DevOps Practices
 
 
 <ul>
 <li>
 Write clean, testable, and maintainable code following global engineering standards.
 </li>
 <li>
 Implement CI/CD pipelines, automated tests, and observability logging.
 </li>
 <li>
 Contribute to shared component libraries, documentation, and internal playbooks.
 </li>
 </ul>
 
 
 &bull; Continuous Improvement
 
 
 <ul>
 <li>
 Stay up to date on emerging fullstack, AI, and DevSecOps technologies.
 </li>
 <li>
 Identify opportunities to improve system performance and developer productivity.
 </li>
 <li>
 Actively contribute to peer code reviews and technical discussions.
 </li>
 </ul>
 
 
 
 
 Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Software Engineering, or related field.
 
 
 
 
 
 Experience
 
 
 
 
 <ul>
 <li>
 5&ndash;8 years of experience in fullstack development or software engineering roles.
 </li>
 <li>
 Proven experience delivering enterprise-grade applications across cloud or AI environments.
 </li>
 <li>
 Exposure to microservices architecture and API integration in global, agile settings.
 </li>
 </ul>
 
 
 
 
 Technical Skills
 
 
 
 
 <ul>
 <li>
 Proficiency in JavaScript/TypeScript, Node.js, and modern front-end frameworks (React, Next.js, or Angular).
 </li>
 <li>
 Backend experience using Python, Java, or .NET, including RESTful and GraphQL APIs.
 </li>
 <li>
 Familiarity with microservices, message queues, and event-driven architectures (Kafka, RabbitMQ).
 </li>
 <li>
 Experience with cloud platforms (Azure, AWS, or GCP), Docker/Kubernetes, and CI/CD automation.
 </li>
 <li>
 Understanding of SQL/NoSQL databases and caching mechanisms.
 </li>
 <li>
 Familiarity with AI/LLM integration (API consumption, orchestration, and monitoring) preferred.
 </li>
 <li>
 Knowledge of Git, testing frameworks (Jest, Mocha, Cypress), and observability tools.
 </li>
 </ul>
 
 
 
 
 Soft Skills
 
 
 
 
 <ul>
 <li>
 Strong problem-solving and analytical capabilities.
 </li>
 <li>
 Effective collaboration in cross-functional, multicultural teams.
 </li>
 <li>
 Excellent attention to detail and code quality.
 </li>
 <li>
 Curiosity for new technologies and continuous improvement.
 </li>
 <li>
 Clear communication and accountability mindset.
 </li>
 </ul>
</div>

Senior Full Stack Engineer

TechLabs London

<div>
 
 About TechLabs London:
 
 
 
 At TechLabs London, we build cutting-edge digital products that power smarter, more connected organizations. Our flagship solution is transforming housing management with modern cloud technology, intuitive design, and seamless integration. We are now embedding
 
 AI and intelligent automation
 
 across our platforms &mdash; and this role is at the center of that mission. We&rsquo;re looking for a driven and creative
 
 AI Engineer
 
 to lead this charge with us, to deliver production-ready AI features, predictive analytics, and computer vision tools that unlock real business value.
 
 
 
 Job Purpose:
 
 As an AI Engineer you&rsquo;ll be responsible for the development, deployment, and optimisation of advanced AI and ML capabilities within TechLabs London. You will collaborate with cross-functional teams to embed intelligent solutions into our existing product suite and shape the next generation of AI-powered features across our platforms. This role is perfect for someone who&rsquo;s passionate about building practical AI solutions and wants to see their work improve lives, save time, and power decisions. You&rsquo;ll help the business translate complex challenges into intelligent, scalable solutions.
 
 
 
 Responsibilities:
 
 
 
 <ul>
 <li>
 Design and build end-to-end AI pipelines across use cases such as predictive modelling, NLP, computer vision, and conversational AI.
 </li>
 <li>
 Design, develop and deploy conversational AI solutions using LLMs and agentic frameworks (e.g. LangChain, LangGraph), including RAG pipelines, intent classification, entity extraction, and multi-turn dialogue management.
 </li>
 <li>
 Apply computer vision to extract intelligence from images and videos for detection, classification, and automation.
 </li>
 <li>
 Develop time-series models that analyze behavior and generate predictive.
 </li>
 <li>
 Experiment with foundational models and fine-tune them for specific tasks relevant to our domain.
 </li>
 <li>
 Integrate models into production by working with our developers to deploy solutions into our products and beyond.
 </li>
 <li>
 Architect and build scalable, secure, and reusable ML APIs, workflows, and pipelines using modern MLOps practices and containerisation (Docker).
 </li>
 <li>
 Translate business problems into data-driven solutions, working closely with product, customer success, and engineering teams.
 </li>
 <li>
 Champion AI-first thinking across the company, supporting POCs, internal tooling, and customer-facing features.
 </li>
 <li>
 Collaborate with internal developers, product managers, domain experts, and external stakeholders to ensure solutions are feasible, maintainable, and impactful, as well as to define data strategies and model objectives.
 </li>
 <li>
 Conduct rigorous A/B testing and model evaluation.
 </li>
 <li>
 Support the integration of models into production systems using APIs and microservices.
 </li>
 <li>
 Stay abreast of advancements in AI/ML research and apply relevant breakthroughs to ongoing projects.
 
 
 
 </li>
 </ul>
 
 Skills and Experience:
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in information technology, Software Engineering, Computer Science, or related field.
 </li>
 <li>
 Proven experience building and deploying LLM-powered applications, including RAG pipelines and conversational agents.
 </li>
 <li>
 Hands-on experience with LangChain or similar agentic frameworks (LangGraph, AutoGen, or equivalent).
 </li>
 <li>
 Strong proficiency in Python and relevant ML libraries (e.g. pandas, scikit-learn, PyTorch, spaCy, Hugging Face, OpenCV etc.)
 </li>
 <li>
 Experience with cloud platforms &mdash; Azure is our primary platform (preferred); AWS or GCP also considered.
 </li>
 <li>
 Containerization and orchestration: Docker, Docker Compose.
 </li>
 <li>
 Solid understanding of data modelling, feature engineering, and data warehousing concepts.
 </li>
 <li>
 Strong knowledge of SQL and experience with relational and/or vector databases (e.g. pgvector, Pinecone, Weaviate).
 </li>
 <li>
 Proficiency in version control, CI/CD, and model deployment practices.
 </li>
 <li>
 Experience integrating AI models into web or mobile applications is highly valued.
 </li>
 <li>
 Experience with MLOps tools like MLflow, Airflow, DVC.
 </li>
 <li>
 Familiarity with MCP Server (Model Context Protocol) for building tool-augmented AI agents is a plus.
 
 
 
 </li>
 </ul>
 
 Mindset &amp; Soft Skills:
 
 
 
 <ul>
 <li>
 Strong problem-solving and analytical thinking &mdash; able to translate messy real-world data into measurable solutions.
 </li>
 <li>
 Pragmatic and delivery-oriented &mdash; capable of balancing technical innovation with business impact.
 </li>
 <li>
 Communicative and collaborative &mdash; comfortable working across teams and disciplines.
 </li>
 <li>
 Self-driven &mdash; able to manage time, priorities, and project ownership in a fast-moving team.
 </li>
 <li>
 Knowledge of data governance, bias mitigation, and explainable AI techniques.
 </li>
 </ul>
</div>

AI& Data Engineer (Hybrid)

<div>
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Deploy and maintain secure cloud infrastructure primarily on GCP (Google Cloud Platform) and AWS, ensuring seamless integration between services.
 </li>
 <li>
 Manage and optimize GKE (Google Kubernetes Engine) clusters for high-availability AI applications and microservices.
 </li>
 <li>
 Infrastructure as Code: Build and enforce Terraform strategies to provision and manage infrastructure, ensuring environments are reproducible and version-controlled.
 </li>
 <li>
 CI/CD &amp; Software Verification: Design and implement advanced CI/CD workflows using GitHub Actions, moving beyond simple deployments to create intelligent automation.
 </li>
 <li>
 Build robust verification pipelines that include automated testing, linting, security scanning, and quality gates before production release.
 </li>
 <li>
 Streamline the release process for backend and frontend applications, ensuring "one-click" reliability.
 </li>
 <li>
 Oversee the deployment, maintenance, and backup strategies for databases.
 </li>
 <li>
 Implement comprehensive monitoring and logging solutions (Prometheus, Grafana, Cloud Ops, Cloud Monitoring) to ensure system health, performance, and rapid incident response.
 </li>
 <li>
 Implement security best practices (IAM, VPC configuration, encryption) to protect sensitive AI data and intellectual property.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 
 
 Education &amp; Experience
 
 
 
 
 <ul>
 <li>
 B.Sc. or M.Sc. in Computer Science, Computer Engineering, or a related technical field.
 </li>
 <li>
 5+ years of relevant experience in DevOps, Cloud Engineering, or Site Reliability Engineering (SRE).
 </li>
 <li>
 Proven experience acting as a Senior or Lead engineer, guiding architectural decisions.
 
 
 </li>
 </ul>
 
 
 Technical Requirements
 
 
 
 
 <ul>
 <li>
 Advanced hands-on experience with GCP (specifically GKE, VPC, IAM) and a working knowledge of AWS.
 </li>
 <li>
 Proven ability to design and implement robust, scalable, and secure cloud architectures.
 </li>
 <li>
 Mastery of Docker and Kubernetes administration.
 </li>
 <li>
 Strong proficiency in Terraform.
 </li>
 <li>
 Expert knowledge of GitHub Actions for building, test, build, and deploy pipelines.
 </li>
 <li>
 Experience managing PostgreSQL and ClickHouse databases.
 </li>
 <li>
 Deep understanding of Linux System Administration.
 </li>
 <li>
 Experience with AI/ML lifecycle tools (e.g., Kubeflow, MLflow, Vertex AI).
 </li>
 <li>
 Strong proficiency in Python and Bash scripting.
 </li>
 <li>
 Familiarity with DevSecOps tools and practices.
 </li>
 <li>
 Bonus: Official GCP Certifications (e.g., Professional Cloud Architect, Professional Cloud DevOps Engineer) and Kubernetes Certifications (e.g., CKA, CKAD, CKS) are highly preferred.
 </li>
 <li>
 Bonus: Knowledge of Javascript/Node.js is a strong plus.
 
 
 </li>
 </ul>
 
 
 Soft Skills &amp; Mindset
 
 
 
 
 <ul>
 <li>
 Ability to design long-term solutions rather than quick fixes.
 </li>
 <li>
 Excellent ability to explain complex cloud concepts to Data Scientists and business stakeholders.
 </li>
 <li>
 Comfortable working in a fast-paced environment with evolving requirements.
 </li>
 <li>
 Fluent English is a must.
 </li>
 </ul>
</div>

Senior DevOps Engineer, AI4ALL

OVERJET

<div>
 
 Lead the Future of Dentistry.
 
 
 
 Overjet is the world-leader in dental AI. Already, thousands of dental providers and insurers rely on our platform to deliver the best possible care. Now, we&rsquo;re looking for talented people to fulfill our mission: improve oral health for all.
 
 
 Overjet is where builders become leaders. Everyone here loves to make new things: new products, new partnerships, new content, and a new category of AI technology. And as Overjet grows ridiculously fast, so will you.
 
 
 Simply put, there&rsquo;s no better place to accelerate your career. Come join us!
 
 
 
 The Role
 
 
 
 We are looking for a
 
 Senior Quality Engineer (SDET)
 
 to help stabilize and scale the quality practices around our
 
 large .NET MAUI Windows application
 
 . The role focuses on
 
 building a sustainable testing strategy
 
 , implementing
 
 automated testing
 
 , and improving how we define and verify requirements. You will work closely with developers and product owners to ensure new features are designed with
 
 testability, clear acceptance criteria, and automated validation
 
 . This is a
 
 hands-on engineering role
 
 , not just manual testing.
 
 
 Please note that while this role is fully remote, we are looking for candidates based in Eygpt.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Designing and implementing a sustainable testing strategy for a MAUI desktop app
 </li>
 <li>
 Building and maintaining UI automation tests (WinAppDriver, FlaUI, UIA3)
 </li>
 <li>
 Integrating automated tests into CI/CD pipelines (Azure DevOps / GitHub Actions)
 </li>
 <li>
 Working closely with developers to ensure features are designed with testability in mind
 </li>
 <li>
 Helping define clear, testable acceptance criteria for every story
 </li>
 <li>
 Introducing quality metrics: test coverage, regression stability, build health
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 You're strong in C# and the .NET testing ecosystem
 </li>
 <li>
 You have experience testing desktop applications (MAUI, WPF, WinUI, or similar)
 </li>
 <li>
 You can write maintainable automation &mdash; code that developers actually want to keep
 </li>
 <li>
 You've worked in Agile teams and collaborates well with engineers
 </li>
 <li>
 You focus on preventing bugs, not just catching them
 </li>
 <li>
 You can work independently and bring ideas, not just test cases
 </li>
 <li>
 Bonus points for experience with
 </li>
 <ul>
 <li>
 .NET MAUI
 </li>
 <li>
 UI Automation / accessibility APIs
 </li>
 <li>
 WebSockets or real-time systems
 </li>
 <li>
 Introducing QA practices in teams that previously had little to none
 
 </li>
 </ul>
 </ul>
 
 Overjet's Values
 
 
 
 <ul>
 <li>
 Excellence: Aim Higher
 </li>
 <li>
 Velocity: Quickly Deliver Results
 </li>
 <li>
 Ownership: Go the Extra Mile
 </li>
 <li>
 Win-win: Care Deeply
 
 
 </li>
 </ul>
 
 Company Recognition
 
 
 
 <ul>
 <li>
 Included on Best Places to Work by BuiltIn lists in 2026: #3 overall in the US, #1 in NYC, #1 in San Francisco, and #2 in Boston
 </li>
 <li>
 #4 on FastCompanys's Most Innovative Companies list in Healthcare for 2026
 </li>
 <li>
 Named one of the TIME Best Inventions of 2024
 </li>
 <li>
 Recognized in Newsweek&rsquo;s Most Loved Workplaces in America 2024
 </li>
 <li>
 Won the Dental Health category at the Digital Health Awards 2024 and 2024 Best Places to Work by Built In
 </li>
 <li>
 Recognized as one of the Top Startups of 2023 by LinkedIn
 </li>
 <li>
 Included on the definitive 2022 Forbes AI 50
 
 
 </li>
 </ul>
 
 EEOC
 
 
 
 
 Overjet is an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We believe diversity enriches our team so we hire people with a wide range of identities, backgrounds, and experiences. Even if you don't meet 100% of the qualifications for this job, we strongly encourage you to apply!
 
 
 
 
 If you are a Colorado resident: Please contact us by emailing recruiting@overjet.ai to receive compensation and benefits information for this role. Please include the job title in the subject line of the email.
 
 
 
</div>

Senior Quality Engineer / SDET- Egypt Based

MedNet Egypt L.L.C

<div>
 
 
 MedNet Egypt
 
 is one of the leading managed care service organizations that caters to healthcare needs. We are looking for a skilled
 
 &ldquo;Project Manager.&rdquo;
 
 This role is responsible for leading regional digital transformation and process automation initiatives that leverage AI within health insurance operations. Support initiatives such as digital claims management, improvements to members and provider portals, the automation of manual processes, and AI-driven solutions (e.g., fraud detection, auto-adjudication, chatbots).
 
 
 
 
 
 
 Your Job
 
 
 
 
 
 <ul>
 <li>
 Lead digital and automation projects such as e-Claims and e-Preauthorization workflows, AI-based claims adjudication or fraud analytics, Member/provider self-service platform enhancements, Document digitization and intelligent routing.
 </li>
 <li>
 Develop and manage comprehensive project plans, timelines, risk logs, and business cases with defined success metrics for post-implementation evaluation.
 </li>
 <li>
 Coordinate and align cross-functional teams across markets, including operations, IT, provider relations, and medical review units, to ensure successful project execution
 </li>
 <li>
 Lead structured workshops with key stakeholders to gather business and regulatory requirements, translating them into detailed BRDs, FSDs, and user stories for UAT.
 </li>
 <li>
 Coordinate with IT application specialists to ensure accurate translation of requirements into solution design and successful solution delivery.
 </li>
 <li>
 Document comprehensive business requirements, including:
 </li>
 <li>
 Health Claims Adjudication Logic
 </li>
 <li>
 Provider Network Management Needs
 </li>
 <li>
 Regulatory Compliance Requirements
 </li>
 <li>
 Workflow Automation and Exception Handling
 </li>
 <li>
 Conduct discovery and feasibility analysis to identify automation opportunities using AI and RPA technologies such as chatbots, intelligent document processing, and predictive analytics.
 </li>
 <li>
 Collaborate with data teams, developers, and architects to design and develop intelligent automation solutions.
 </li>
 <li>
 Prepare business cases with ROI analysis and lead the implementation of automation platforms like RPA, OCR, and NLP to minimize manual work.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Your Profile
 
 
 
 
 
 <ul>
 <li>
 Bachelor's degree, ideally in industrial engineering or business administration, economics, or a similar qualification.
 </li>
 <li>
 Good knowledge of Microsoft applications, particularly profound experience developing PowerPoint presentations, Excel sheet models, and MS Project.
 </li>
 <li>
 Problem-solving skills and leadership skills are essential.
 </li>
 <li>
 Willingness to travel.
 </li>
 <li>
 PMP certification.
 </li>
 <li>
 Business Analysis Certification.
 </li>
 <li>
 Six sigma green belt would be a plus.
 </li>
 <li>
 
 Insurance industry PM experience (4+ years).
 
 </li>
 <li>
 Proven delivery in
 
 integrations
 
 ,
 
 regulatory/compliance
 
 (
 
 ADHICS, SOC 2, ISO
 
 ),
 
 process improvements
 
 , and
 
 portal enhancements
 
 .
 </li>
 <li>
 Tools:
 
 Jira, Smartsheet, MS Project
 
 ; advanced
 
 PowerPoint/Excel
 
 ;
 
 fluent business English
 
 .
 </li>
 <li>
 Ability to partner with
 
 Risk/Compliance
 
 and
 
 Commercial
 
 ; experience
 
 applying AI tools
 
 to PM deliverables.
 </li>
 <li>
 Good knowledge and experience in project management tools and methodologies, Business requirement documentation, and process re-engineering.
 </li>
 </ul>
 
 
</div>

Project Manager

<div>
 Valeo est une entreprise mondiale de haute technologie qui con&ccedil;oit des solutions r&eacute;volutionnaires pour r&eacute;inventer la mobilit&eacute;. Nous sommes un &eacute;quipementier partenaire des constructeurs automobiles et des acteurs de la nouvelle mobilit&eacute; dans le monde entier. Notre vision ? Inventer une mobilit&eacute; plus verte et plus s&ucirc;re, gr&acirc;ce &agrave; des solutions ax&eacute;es sur la conduite intuitive et la r&eacute;duction des &eacute;missions de CO2. Nous sommes leaders dans nos domaines d'activit&eacute; et reconnus comme l'une des plus grandes entreprises innovantes au monde.
 
 
 
 Our mission is to revolutionize existing and new Valeo products, tools and processes by harnessing the power of cutting-edge generative AI. We aim to drive unprecedented efficiency across Valeo product portfolio, reducing development costs and achieving a new level of intelligent automation.
 
 
 
 
 Through relentless research, we design and build a robust and adaptable AI framework that seamlessly integrates into our current workflow.
 
 
 
 
 We are committed to fostering a collaborative environment where researchers, engineers, and product teams work in unison to explore innovative solutions. We believe that by strategically integrating AI, we can optimize internal processes, streamline workflows, and drive long-term success within Valeo's existing and new product landscape.
 
 
 
 
 Responsibilities
 
 
 
 
 This position is the cornerstone of the AI4ALL team, he is responsible for developing applications, testing and maintaining them.
 
 
 
 <ul>
 <li>
 Develop &amp; re-use the core AI components of the framework.
 </li>
 <li>
 Implement APIs, models, optimize for performance, and integrate with adjacent systems.
 </li>
 <li>
 Conduct various testing (Unit Test, API Testing, Load Testing, &hellip;) for the developed components.
 </li>
 <li>
 Document all the developed components.
 </li>
 <li>
 Deploy developed products and maintain them.
 </li>
 <li>
 Build user-facing product features using the framework's capabilities
 </li>
 <li>
 Create responsive UI components, ensure smooth interactions with AI models
 </li>
 <li>
 Manage client-side data handling
 </li>
 <li>
 Conduct various frontend testing
 
 
 </li>
 </ul>
 
 
 Education/Training
 
 
 
 
 <ul>
 <li>
 B.Sc. in Communication, Mechatronics, Electronics or Computer Engineering.
 </li>
 <li>
 B.Sc. in Computer science
 
 
 </li>
 </ul>
 
 
 Professional Competences
 
 
 
 
 
 Deep learning (TensorFlow, PyTorch)
 
 
 2
 
 
 
 
 Collaborative mindset
 
 
 3
 
 
 
 
 Knowledge of GenAI Framework (LangChain, LlamaIndex)
 
 
 3
 
 
 
 
 Focus on code quality
 
 
 3
 
 
 
 
 Strong knowledge of OOP &amp; Functional Programming
 
 
 3
 
 
 
 
 Self-organized
 
 
 3
 
 
 
 
 Python, REST API development
 
 
 3
 
 
 
 
 Experience with Python based web framework (Flask, FastAPI, Django)
 
 
 3
 
 
 
 
 JavaScript/TypeScript, HTML, CSS
 
 
 3
 
 
 
 
 Frontend Frameworks at least one (React, Vue, Angular)
 
 
 2
 
 
 
 
 Experience with Python based test framework (PyTest, PyUnit)
 
 
 2
 
 
 
 
 Knowledge of Cloud Services (GCP, AWS)
 
 
 2
 
 
 
 
 
 Professional
 
 
 Experience
 
 
 
 
 <ul>
 <li>
 3+ Years of experience.
 </li>
 <li>
 Knowledge of AI/ML and GenAI.
 </li>
 <li>
 Knowledge of at least one Web framework (FastAPI, Django, Flask, &hellip;).
 </li>
 <li>
 Knowledge of (HTML, CSS, JS)
 </li>
 <li>
 Knowledge of React frontend framework is a plus.
 </li>
 <li>
 Knowledge and development for cloud platforms (GCP, AWS) is a plus.
 
 
 </li>
 </ul>
 
 
 Other Specifications
 
 
 
 
 
 We prefer a great/interested/excited team player with less experience to an unmotivated or unengaged one with tons of experience.
 
 
 
 
 Position~
 
 
 
 R&amp;D IS Engineer
 
 
 
 D&eacute;partement~
 
 
 
 Software Development
 
 
 
 Schedule~
 
 
 
 Temps plein
 
 
 
 Employee Status~
 
 
 
 CDI
 
 
 
 Type de contrat~
 
 
 
 
 Job Posting Date~
 
 
 
 2026-01-26
 
 
 
 Join Us !
 
 
 Being part of our team, you will join~
 
 
 <ul>
 <li>
 one of the largest global innovative companies, with more than 20,000 engineers working in Research &amp; Development
 </li>
 <li>
 a multi-cultural environment that values diversity and international collaboration
 </li>
 <li>
 more than 100,000 colleagues in 31 countries... which make a lot of opportunity for career growth
 </li>
 <li>
 a business highly committed to limiting the environmental impact if its activities and ranked by Corporate Knights as the number one company in the automotive sector in terms of sustainable development
 
 
 </li>
 </ul>
 More information on Valeo~ https~//www.valeo.com
 
</div>

Senior Full Stack Developer, AI4ALL

Explore 184+ Ai automation engineer light in Cairo this April. Find roles across top companies and apply now to boost your career.