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 Engineering
📍 Gurugram