- Robust Python development, asynchronous programming, and API integration.

- Hands-on LangGraph experience: StateGraph, typed state, nodes, conditional edges, subgraphs, reducers, and cyclic workflows.

- Production persistence: PostgreSQL-based checkpointing, thread management, state history, recovery, and reliable execution.

- Tool integration: reusable tool schemas, tool registration and discovery, dynamic loading, and error handling.

- Multi-agent orchestration: supervisor, handoff, orchestrator-worker, and routing patterns.

- LangChain expertise, including LCEL, runnables, structured outputs, and tool calling.

- LLM integration with OpenAI, Claude, Gemini, or equivalent models.

- Human-in-the-loop workflows, streaming, tracing, and observability using LangSmith or equivalent.

- Production readiness: evaluation, security, scalability, and deployment.

- Strong Python, LLM integration, and practical Agentic AI experience using LangGraph should be standard skills across relevant AI engineering roles. Add specialized skills such as real-time voice processing, STT/TTS, graph databases, and GraphRAG based on the specific role and project requirements

📌 Senior AI Agentic Developers (Bengaluru)
🏢 Jade Global
📍 Bengaluru