AI Product Engineer — Commonstock

You build Commonstock end to end, turning real fills into the verified track records the community browses. You write the Python/FastAPI backend and vanilla JS frontend with real-time WebSocket data, and expose the records to AI agents through a clean API and MCP surface.

⭐ Bonus points for any apps built on the platform using "Build it Better"

💰 Salary: $150,000 – $220,000 USD / year · Remote OK

What you'll do

• Build backend endpoints that assemble verified track records from real fill data
• Implement the vanilla JS frontend with real-time WebSocket updates for records and performance
• Expose records to AI agents via API and MCP so agents can query and act on them
• Ship features across backend, frontend, and agent surfaces together so each is usable on release
• Ensure displayed figures trace back to real fills with no fabricated values

What you bring

• Strong Python and FastAPI backend skills
• Proficiency with vanilla JavaScript and real-time WebSocket data on the frontend
• Experience exposing product features to AI agents through APIs and MCP
• Discipline to build features across all surfaces before calling them done

Try the app

cymetica.com/commonstock

This role is part of AI Product Engineer — EventTrader AI Apps.