Agentic AI Engineer II

Capgemini; Bengaluru; On-site; INR 1,800,000 - 2,600,000; Full time

Job summary

Capgemini Bengaluru is seeking an Agentic AI Engineer to design and build autonomous AI systems focusing on agent reasoning, A2A collaboration, and tool interoperability for enterprise readiness.

You will work with MCP servers/clients, integrate with vector databases, and implement robust guardrails, security, and scalable distributed systems using Azure or other cloud platforms.

Qualifications

• Strong Python skills and hands-on experience with AI agent frameworks.
• Experience implementing agent-to-agent (A2A) workflows and MCP interoperability.
• Familiarity with vector databases and RAG architectures; understanding of prompt engineering.

Skills

Python

Agent frameworks

A2A workflows

MCP Server/Client

REST/Async APIs

Vector databases

RAG architectures

Cloud experience

CI/CD

Observability

Guardrails/Security

Tools

Azure AI Foundry

Autogen

LangChain

LangGraph

CrewAI

Git

Job description

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 dynamic 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