Job Description

The Agentic AI Engineer is responsible for building intelligent, autonomous, and collaborative AI systems. This role focuses on agent reasoning, A2A (Agent to Agent) collaboration, MCP based tool interoperability, structured output validation, and guardrailed execution suitable for production and enterprise environments.

Core Technical Skills:-

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

Nice to Have / Preferred Skills:-

Advanced multi agent orchestration and energetic role assignment
Experience with LLMOps / AgentOps tooling
Knowledge of knowledge graphs
Experience building enterprise grade workflow automation agents
Exposure to security considerations in agentic systems (prompt injection, tool misuse)
Exposure to Guardrails
Exposure to Telecom Network domain
Certifications – Azure AI-900, AI-901, AI-102, AI-103

📌 Agentic AI II 4 to 6 Years II Bengaluru (India)
🏢 Capgemini Sogeti
📍 India