Senior Agentic AI Engineer
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