6 days ago
Issy-les-Moulineaux, FranceStaff+
Responsibilities
- Design and evolve generative and agentic AI solutions from architecture through industrialization.
- Develop and prototype Python solutions using LLMs, RAG, agents, orchestrators, and MCP.
- Evaluate and select suitable technologies across OpenAI, Gemini, Anthropic, and Mistral ecosystems.
- Ensure AI solution robustness across security, evaluation, observability, data, and infrastructure concerns.
- Support clients and technical teams from requirements understanding through solution definition.
Requirements
- Solid experience in software engineering and/or architecture, ideally gained as a Lead Developer, Tech Lead, or technical reference.
- Hands-on proficiency with Python and generative AI, LLMs, RAG, or agentic systems.
- Knowledge of modern AI environment components including orchestrators, MCP, RAG, data and rights management, and APIs.
- Understanding of AI industrialization, security, and observability across multiple AI ecosystems.
- Strong technical expertise combined with excellent client-advisory and consulting skills.
Benefits
- Employee share ownership plan, referral bonuses, meal vouchers, and social and cultural activities through the CSE.
- Parenting support, including the option to work 90% during school holidays, along with other collective-agreement benefits.
- Remote-work possibilities in France and internationally.
- Health and well-being support, including a listening service and dedicated platform.
- Inclusive employee networks and a multicultural, disability-inclusive work environment.
Tech Stack
Categories
About Capgemini
Capgemini is a global IT services and consulting firm that delivers strategy, cloud, AI, software engineering, and managed services to large enterprises and public-sector clients. Founded in 1967 and headquartered in Paris, it is publicly traded on Euronext Paris and operates in 50+ countries. The group expanded its engineering capabilities by acquiring Altran in 2020, now operating as Capgemini Engineering.
