Jobs → Engineering → Agentic AI Engineer

About the Role We are urgently hiring experienced Agentic AI Engineers to build production-ready AI agents and multi-agent systems. Key Responsibilities • Design and develop production-ready multi-agent systems using LangGraph • Implement HITL workflows with persistent checkpoints and approval mechanisms • Build and integrate MCP tools and A2A agent communication • Develop scalable Python backend services and RAG pipelines • Implement LLM security, PII protection and controlled tool calling • Ensure production reliability, observability, performance and cost optimization • Build robust testing and CI/CD practices for AI applications Requirements • 7–15 years of experience in AI engineering • Strong hands-on expertise in LangGraph, MCP, A2A, HITL and Python • Experience with FastAPI / Starlette for backend development • Knowledge of RAG, semantic search and context ingestion • Familiarity with vector databases like SAP HANA Cloud Vector Engine • Understanding of transformer architecture, tool calling and prompt engineering • Experience with Async Python (Python 3.13, AsyncIO, async/await) • Experience with MLflow for agent monitoring and experiment tracking • Proficiency in Pytest and pytest-asyncio for testing • Experience with CI/CD tools like Azure DevOps or GitHub Actions