Consumer fintech startup turning annual tax dread into year-round financial partnership.
Senior AI Engineer
You'll architect the ML systems that turn fragmented tax documents into conversational, year-round financial guidance. Shipping production models in Python and Node, you'll build retrieval pipelines, tune LLM outputs for regulated accuracy, and instrument evals that catch drift before users do. Most days bridge exploratory notebooks and typed API surfaces—this sits at the intersection of hard ML engineering and consumer product risk.
What they're looking for
- 6+ years shipping ML systems in production, with recent depth in LLMs or large-scale retrieval
- Fluent in Python and TypeScript;comfortable owning a Node service end-to-end
- Demonstrated rigor around eval design, output constraint, and error analysis in high-stakes domains
- Experience navigating regulated or sensitive-data environments (fintech, health, legal, or similar)
- Based in or near a major US metro, or fully remote with strong async collaboration habits