AI Product Engineer — Gem Screener

You build Gem Screener end to end: the FastAPI backend that ranks crypto projects by real revenue against market cap, the vanilla-JS frontend with sector boards and per-token detail panels, and the real-time WebSocket data that keeps rankings live. You also expose the screener 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 the Python/FastAPI backend that computes revenue-to-market-cap rankings and serves sector boards
• Implement the vanilla-JS frontend for the ranking view, sector filtering and token detail panel
• Wire real-time WebSocket updates so rankings and detail data stay current without polling
• Expose the screener's rankings and per-token data to AI agents via API and MCP
• Ship features across backend, frontend and data surfaces together so the screener works fully live

What you bring

• Strong Python/FastAPI backend skills and vanilla-JS frontend experience
• Experience building real-time data delivery over WebSockets for financial or market data
• Ability to design clean APIs and MCP interfaces for AI-agent consumption
• Comfort owning a feature end to end across backend, frontend and data

Try the app

cymetica.com/gem-screener

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