AI Product Engineer — Webull

You build this app end to end, from a Python and FastAPI backend to a vanilla JavaScript frontend fed by real-time WebSocket data, so the on-chain proof it presents is fast and accurate. You wire the app into AI agents through its API and MCP surface so an agent can request and read the same proof a human sees. You ship features whole, across backend, frontend and agent interface, in one pass.

⭐ 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 features across the FastAPI backend and vanilla JavaScript frontend
• Stream live data to the interface over WebSockets so proof and figures update in real time
• Expose the app's capabilities to AI agents via a clean API and MCP surface
• Ensure displayed numbers are backed by verifiable on-chain data end to end
• Ship each feature complete across backend, frontend and agent interface

What you bring

• Strong Python and FastAPI plus vanilla JavaScript frontend skills
• Experience with real-time WebSocket data delivery
• Familiarity with reading on-chain data and exposing tools to AI agents via API and MCP
• Track record shipping full-stack features end to end

Try the app

cymetica.com/webull

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