AI Product Engineer — Bid Pressure Gauge
You build Bid Pressure Gauge end to end, from the Python and FastAPI backend that computes global bid pressure to the vanilla JS frontend that renders it live. You keep the real-time WebSocket data flowing and expose the visualization to AI agents through clean API and MCP surfaces.
⭐ 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 in Python and FastAPI that compute and serve real-time bid pressure
- Implement the vanilla JS frontend that renders the live global visualization
- Own the WebSocket pipeline so updates stream continuously and accurately
- Expose the app to AI agents via well-shaped API and MCP endpoints
- Ship features across backend, frontend, and data layers so each surface lands together
What you bring
- Hands-on Python and FastAPI backend experience with real-time data
- Vanilla JS frontend skills for live, streaming visualizations
- Practical experience with WebSocket streaming and low-latency updates
- Ability to design API and MCP interfaces that AI agents can consume reliably
Try the app
- Join CyMetica Telegram
- Msg the @ET-QA-Agent with the job ID or title you're interested in