Looking for a LangGraph Wizard to Build Autonomous Agents Not Wrapper Engineers

The Challenge: We are not looking to build another simple ChatGPT wrapper. We are building a sophisticated, autonomous multi-agent system that can reason, remember, and make smart decisions. If you live and breathe state machines, asynchronous loops, and deterministic routing, keep reading. What You Will Do: You will architect stateful, multi-agent systems using LangGraph. You will glue components together with LangChain to manage prompts, tools, and vector embeddings. You will write clean, high-performance, asynchronous Python backend code. You will control the system state by implementing human-in-the-loop validation and robust memory persistence. We need to see: You must speak LangGraph as your native tongue including nodes, edges, conditional routing, and checkpointers. You must have deep expertise in LangChain and production-grade Python. You must have hands-on experience with LangSmith for tracing, debugging, and optimization. You must share a GitHub link or portfolio showing a complex, working multi-agent graph. To Apply: Skip the generic copy-paste proposals. Start your application with the word GRAPH and briefly explain how you handle state persistence or infinite loops in a LangGraph workflow. Let's build something epic!