> Markdown version of [/jobs/ext/2322784-data-engineer-agentic-ai](https://www.wearedevelopers.com/jobs/ext/2322784-data-engineer-agentic-ai). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Engineer - Agentic AI - **Company:** Capgemini - **Location:** Paris, France - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Microsoft Azure, Continuous Integration, Elasticsearch, Github, Python (Programming Language), PostgreSQL, Scrum Methodology, Search Technologies, Large Language Models, Fastapi, Docker, Microservices - **Published:** August 5, 2026 - **Apply:** https://fr.indeed.com/viewjob?jk=fd02474faf3e9b3a ## About the Role * Python, FastAPI. * LangGraph, LangChain. * MCP et Tool Calling. * RAG et bases de données vectorielles. * OpenAI, Azure OpenAI, Claude, Gemini et Llama. * PostgreSQL, PGVector, Elasticsearch et Vector Search. * API, microservices, Docker, GitHub et CI/CD. * Azure et GCP. * Agile / Scrum. ## Description * Développer des agents AI et des workflows agentiques. * Construire des solutions avec LangGraph, MCP et Tool Calling. * Développer et maintenir des architectures RAG. * Intégrer les LLM aux applications et outils métiers. * Développer les API et services d'orchestration. * Gérer le contexte, la mémoire et les interactions des agents. * Participer au cadrage, au prototypage, aux tests et au monitoring. * Appliquer les standards de sécurité, de qualité et de gouvernance AI. ## Related Videos - [Accelerating GenAI Development: Harnessing Astra DB Vector Store and Langflow for LLM-Powered Apps](https://www.wearedevelopers.com/videos/966-accelerating-genai-development-harnessing-astra-db-vector-store-and-langflow-for-llm-powered-apps) - [Intro to FastAPI](https://www.wearedevelopers.com/videos/462-intro-to-fastapi) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [Innovating Developer Tools with AI: Insights from GitHub Next](https://www.wearedevelopers.com/videos/1268-innovating-developer-tools-with-ai-insights-from-github-next) - [Building and Deploying Multi-Agent Systems with ADK and Vertex AI](https://www.wearedevelopers.com/videos/1918-building-and-deploying-multi-agent-systems-with-adk-and-vertex-ai) - [Docker build without Docker](https://www.wearedevelopers.com/videos/100114-docker-build-without-docker) ## Related Articles - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [What is Agentic Programming and Why Should Developers Care?](https://www.wearedevelopers.com/magazine/625-what-is-agentic-programming-and-why-should-developers-care) - [ Dev Digest 213: Petrol Prices, Agentic Workflows, AI Skills and CODE100!](https://www.wearedevelopers.com/magazine/718-dev-digest-213-petrol-prices-agentic-workflows-ai-skills-and-code100) - [Dev Digest 157: CUDA in Python, Gemini Code Assist and Back-dooring LLMs](https://www.wearedevelopers.com/magazine/557-dev-digest-157-cuda-in-python-gemini-code-assist-and-back-dooring-llms)