Capgemini seeks an engineer to work on AI transformation initiatives. The role focuses on developing sophisticated, intelligent systems that leverage cutting-edge AI technologies.

Agentic AI Construction

Build multi-node decision models incorporating retrieval-augmented generation, semantic search, state graphs/memory, and API integration
Design and deploy sophisticated AI-driven systems at scale
Develop agentic AI solutions across diverse domains

Agentic AI Guidance

Implement guardrails, human-in-the-loop workflows, and multi-agent processes
Add reflection, source citation, and response verification to prevent hallucinations
Enhance accuracy through methodologies that increase response reliability

Technical Skills Required

LangChain, LangGraph, LangSmith, Google Gemini, OpenAI API, Swarm, Agents_SDK
Vector databases, fine-tuning, SageMaker, Bedrock, Docker
Research, systems architecting, and AI-centered coding workflows
LLM-assisted development (Cursor AI, Copilot)

Nice-to-Have Skills

Full-stack development for AI applications
Docker, Kubernetes, DevOps methodologies
AI research and experimentation background

Salary: $103,330 - $128,656 base compensation.

Benefits: Paid time off (12-25 days), medical/dental/vision coverage, 401(k), life/disability insurance, employee assistance programs.

Reference code: 422492. Posted March 30, 2026.

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