Agentic AI Engineer

You will join the Applied AI team, a small product team focused entirely on the engine behind QuantPilot's agent: AI research, strategy generation and the agent platform that runs them.

The central problem of this role is making agents produce strategies that are statistically sound, not only plausible-looking, and proving it with evaluation. We judge our work by what traders get out of it, not by features shipped.

Models change every few months, so we invest in the engineering around them and prefer to own that code rather than depend on heavy frameworks.

• Own the agent architecture end to end: orchestration, tool loops, context management, sandboxes and model routing, including the quality, cost and latency trade-offs of running it in production.
• Own the contracts between the engine and the product, including how the frontend renders agent events.
• Build and own the evaluation layer: