AI Product Engineer — VAIX Leaderboard

You build the VAIX Leaderboard end to end, from the Python and FastAPI backend that computes VAIX token performance rankings to the vanilla JavaScript frontend that renders them. You keep the standings updating in real time over WebSockets and expose them so AI agents can read and act on the rankings via API and MCP.

⭐ 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 in Python and FastAPI that compute and serve VAIX token performance rankings
• Implement the vanilla JavaScript frontend that renders the leaderboard clearly and quickly
• Deliver real-time rank and score updates over WebSocket so standings stay live without reloads
• Expose the rankings through API and MCP so AI agents can consume and act on them
• Ship features across backend, frontend and data layers so each capability lands on every surface at once

What you bring

• Strong Python and FastAPI backend skills plus fluency in vanilla JavaScript for the frontend
• Experience building real-time interfaces with WebSockets
• Familiarity with exposing product capabilities via API and to AI agents through MCP
• Ability to own a feature end to end across backend, frontend and data

Try the app

cymetica.com/leaderboard/vaix

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