AI Product Engineer — Tuatara Fund Performance

You build Tuatara Fund Performance end to end, from the Python and FastAPI backend that computes the 40% long / 60% short deployment and strategy indexes to the vanilla JS frontend that renders them live over WebSockets. You also expose the app to AI agents through its API and MCP so agents can read live fund performance directly.

⭐ 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 compute and serve live capital-deployment and strategy-index data
• Implement the vanilla JS frontend that displays the long/short split and real-time indexes
• Stream live updates to the browser over WebSocket connections
• Expose the app's data to AI agents via API and MCP
• Ship features across backend and frontend so the live view stays correct and current

What you bring

• Strong Python and FastAPI backend experience
• Vanilla JS frontend skills including real-time WebSocket data handling
• Experience wiring apps to AI agents via API and MCP
• Ability to deliver full-stack features on real-time financial data

Try the app

cymetica.com/fund-performance

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