Agentic AI II
capgemini
Job Description
Strong proficiency in Python (mandatory)
Hands on experience with agent frameworks (e.g.Autogen, LangChain, LangGraph, CrewAI etc). Preferred framework - Microsoft Azure AI Foundry
Experience implementing A2A workflows (multi agent messaging, task delegation, agent roles)
Practical experience with MCP Server and MCP Client development
Exposing tools via MCP servers
Consuming MCP tools from agents
Managing context, schemas, and permissions
Deep understanding of prompt engineering and agent reasoning patterns
Experience with vector databases (eg., Chroma, Weaviate, Azure AI Search)
Strong knowledge of RAG architectures and embeddings
Experience with REST / async APIs / event driven systems
Software Engineering & Platform Skills
Cloud experience (Azure preferred; AWS/GCP acceptable)
Autogen, Microsoft Agent Framework
Strong understanding of distributed systems and scalability
Git based workflows, CI/CD and code quality practices
Observability, logging, evaluation metrics for agentic systems