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GenAI / Agentic AI Developer
Capgemini
80,000 - 96,000 / year
About this role
Job Description We are looking for a hands-on GenAI / Agentic AI Developer to build LLM-powered applications, RAG solutions, and agentic AI workflows for enterprise use cases.
Key Responsibilities
- Build GenAI 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 GenAI applications using Docker, Kubernetes, CI/CD, and cloud platforms.
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