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GenAI / Agentic AI Developer
NEW YORK · US
$105K–$115K
Full-time
MID
About the Role
Capgemini is looking for a hands-on GenAI / Agentic AI Developer to build LLM-powered applications, RAG solutions, and agentic AI workflows for enterprise clients. The role involves developing multi-agent systems, integrating agents with enterprise systems, and deploying GenAI apps with strong MLOps practices. Requires Python expertise and experience with major LLM providers and agentic frameworks.
Responsibilities
- Build Gen AI applications using LLMs, RAG, agents, and tool-calling workflows.
- Develop agentic solutions using LangChain, LangGraph, AutoGen, CrewAI, Semantic Kernel, or LlamaIndex.
- Design and implement multi-agent workflows such as planner, retriever, executor, validator, and human-in-the-loop agents.
- Build backend APIs using Python, FastAPI, Flask, REST APIs, and microservices.
- Integrate AI agents with enterprise systems, databases, APIs, document repositories, and cloud services.
- Implement document ingestion, embeddings, vector search, reranking, and retrieval pipelines.
- Deploy and monitor Gen AI applications using Docker, Kubernetes, CI/CD, and cloud platforms.
- Support LLM Ops including prompt/version management, model evaluation, monitoring, logging, and cost tracking.
Requirements
- Strong hands-on experience in Python development.
- Experience with OpenAI, Azure OpenAI, AWS Bedrock, Anthropic Claude, Gemini, Llama, or Mistral.
capgemini
Paris · FR · 420000+ employees
Capgemini is a global leader in business and technology transformation, consulting, and digital services. They provide integrated solutions spanning strategy, design, technology, engineering, and business operations, helping organizations leverage AI, cloud, and data technologies.
