AI Product Engineer — Coinglass

You build Coinglass end to end, from the Python and FastAPI backend that computes liquidation-cascade data to the vanilla JS frontend that renders it, streamed live over WebSocket. You wire the app into AI agents through its API and MCP so agents can read the same cascade signals a human trader sees.

⭐ 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 features that source and compute liquidation-cascade data
• Implement the vanilla JS frontend that charts cascades in real time
• Stream updates over WebSocket so charts stay live without page reloads
• Expose the app to AI agents via API and MCP interfaces
• Reinforce the framing that EventTrader positions cap risk rather than cascade

What you bring

• Strong Python and FastAPI experience for real-time data services
• Proficiency in vanilla JavaScript and WebSocket-driven frontends
• Experience building and consuming APIs and MCP tools for AI agents
• Comfort with crypto market data, leverage and liquidation mechanics
• Ability to ship a feature across backend, frontend and agent surfaces together

Try the app

cymetica.com/coinglass

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