Kalshi Trading Bot Developer - Python / Prediction Markets

I run a platform that lets users build and run automated trading bots on Kalshi (event/prediction markets). I'm looking for a developer who genuinely understands both sides: how Kalshi markets actually trade, and how to build reliable software around them. What you'd help with: - Designing and improving trading-bot logic (entry/exit rules, signal evaluation, position sizing) - Integrating with the Kalshi REST API (orders, fills, positions, live order books) - Backend work in Python (Flask) and PostgreSQL, deployed on Railway - Strategy backtesting, fee/EV modeling, and safe live execution (dry-run/paper modes, risk controls) You're a great fit if you have: - Real hands-on experience trading on Kalshi (or similar venues like Polymarket) - Strong Python and REST API integration skills - A solid grasp of order types, maker/taker fees, expected value, and Kelly/position sizing - Experience building algorithmic trading bots or automated strategies - Day-to-day fluency with AI coding tools, especially Claude / Claude Code Bonus: Supabase, Stripe, and front-end/web app experience. In your proposal, please include: 1. A short note on your Kalshi / prediction-market experience 2. An example of a trading bot or automation you've built 3. How you use Claude (or similar AI tools) in your development workflow