LangGraph Engineer for Multi Agent Orchestration and State Machine Architecture

Looking for a solid Python dev to help set up a multi-agent routing workflow in LangGraph. Right now relying on a single monolith prompt isn't cutting it, so I want to split user queries across specialized worker agents. I need someone who can jump into the codebase and get this routing logic running smoothly. Here are the key results I’m looking for: - A supervisor setup that correctly detects user intent and passes tasks to the right specialized worker agent. - A couple of functional python tools for the agents to run, with input validation and error handling - Persistent conversation state across multi-turn chats I’m looking for someone with hands-on experience in LangGraph, LangChain and clean, production-ready Python (no raw notebook scripts). If you’ve built and debugged LangGraph state machines before, this should be a quick and straightforward task.