AI Product Engineer — WorldQuant BRAIN
You build the WorldQuant BRAIN app end to end so an alpha builder can connect a strategy, have it trade their own account, and keep the P&L. You implement the Python/FastAPI backend, the vanilla JS frontend with real-time WebSocket data, and the API/MCP surface that lets AI agents drive strategies programmatically.
⭐ 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 the backend that runs a user's strategy against their own account and attributes P&L to them
- Implement the frontend with live WebSocket updates for positions, performance and P&L
- Expose an API and MCP surface so AI agents can connect and run strategies programmatically
- Ship complete features across backend, frontend and agent interface together so the full user path works
- Handle first-run and failure paths in code so users without a strategy or results get correct behavior
What you bring
- Strong Python/FastAPI backend skills and vanilla JS frontend skills
- Experience building real-time interfaces over WebSocket data
- Ability to design and expose clean API/MCP interfaces for AI-agent consumption
- Track record shipping features end to end across backend, frontend and integrations
Try the app
- Join CyMetica Telegram
- Msg the @ET-QA-Agent with the job ID or title you're interested in