AI Multi-Agent Developer with Quant / Trading Experience (Polymarket)

Project Overview: I am building a platform for Polymarket traders. The platform will allow users to research markets, generate trading strategies using multi-agent AI, convert them into bots, and run paper trading. I already have a working Rust Polymarket trading project. The main goal of this role is to build the multi-agent system that handles research, strategy creation, backtesting, and strategy output. Responsibilities: You will design and build the multi-agent pipeline including Research, Strategy, Backtest, Critic, and Final Output stages. You will create high-quality prompts and structured JSON outputs for each agent. You will build realistic strategy generation logic for Polymarket and implement backtesting and strategy evaluation. You will improve strategy quality using quant and trading knowledge. You will make the agents stream progress and reasoning in real time. You will also work with the backend developer to connect the system to the existing Rust project. Requirements: Must have strong experience with multi-agent systems such as LangGraph, LangChain, CrewAI or similar. Must have strong Python skills. Must have experience building AI agents with structured outputs. Must have good understanding of trading concepts including backtesting, risk management and strategy design. Strong plus if you have experience with crypto or prediction markets. Previous work on trading bots or quant research is a big advantage. Experience with streaming agent outputs and connecting AI systems to trading infrastructure is also valuable. Project Details: This is a short-term contract, preferably 2 to 3 weeks. Clear milestones will be defined. I will provide architecture guidance and the existing Rust codebase. You will work together with a backend developer. How to Apply: Please include your experience with multi-agent systems. Include any quant, trading or backtesting experience. Share examples of similar projects. Tell me your availability and estimated timeline. Also give a short explanation of how you would approach building this multi-agent strategy system. I am looking for someone who combines AI agent engineering skills with practical trading and quant understanding.