JOB DESCRIPTION

Agent Development - Develop autonomous AI agents, implement reasoning, planning,
reflection, and execution workflows, build agent collaboration mechanisms,
design agent memory management

Multi-Agent Systems - Implement A2A communication, build delegation and
orchestration logic, develop planner-executor-reviewer patterns and implement
agent state management

MCP Development - Build MCP Servers & Clients, Integrate enterprise tools
through MCP, Manage schema, context, and permissions

RAG Development - Build enterprise RAG pipelines, create ingestion pipelines,
implement retrieval strategies & evaluate retrieval quality

Enterprise Integrations - Connect agents with APIs, Databases, ServiceNow, Jira,
BMC Remedy,



internal enterprise tools, Build tool-calling capabilities

Production Engineering - Evaluation frameworks, Agent monitoring, Logging and
observability, Performance optimization & Reliability testing

Mandatory Technical Skills

Agentic AI Skills - Multi-agent systems, Agent orchestration, Agent memory, Tool
calling, ReAct patterns, Planning agents, Reflection agents & Evaluator agents

Must have hands-on implementation framework experience with LangGraph,
LangChain & Google ADK

📌 Senior Agentic AI Engineer (Gurugram)
🏢 Capgemini
📍 Gurugram