Bootstrapped B2B AI platform built for hedge funds and asset managers
Applied AI Engineer
Your mornings start with surfaced model drift alerts from overnight portfolio simulations. You'll tighten the feedback loop between raw market data and LLM-generated research synthesis, shipping React components that traders actually stare at while the market's open. Expect to pair Python data pipelines with FastAPI services that feed chain-of-thought reasoning flows—not demos, but production tools managing real capital decisions. The backend lives on Azure Kubernetes; the frontend has to keep up when latency is measured in milliseconds and downtime costs actual money.
What they're looking for
- 3+ years building production systems in Python, with serious exposure to data-heavy domains like finance, quant tooling, or enterprise analytics
- Proficiency across the full stack: React on the frontend, FastAPI or Django on the backend, with comfort deploying to Kubernetes on Azure
- Hands-on experience orchestrating LLM workflows—LangChain in production, not prototypes—and debugging retrieval pipelines when answers go stale
- Track record of writing Pandas-heavy data transformations that survive market opens, quarter ends, and schema changes without hand-holding
- Based in metro New York or willing to be in-person a few days weekly for whiteboard sessions that still matter when capital is at risk