Sr/Staff AI Engineer

We are looking for a Sr/Staff AI Engineer with 4-12 years of experience to build the AI agent platform powering the future of corporate finance automation. You'll join a flat, high-ownership team working directly with the CTO and end customers to ship audit-ready AI agents that automate core accounting workflows for mid-market companies.

What will you be doing?

- Building and shipping production AI agents that automate finance workflows (revenue recognition, reconciliation, month-end close, reporting)

- Designing agent frameworks, context systems, orchestration, evals, and verification layers that the entire engineering team builds on

- Working directly with end customers (CFOs, controllers) to understand workflows and translate them into AI-powered solutions

- Owning modules end-to-end across the full stack—from LLM pipeline and infrastructure to backend and UX

- Contributing to platform abstractions and horizontal systems that multiply the output of the entire team

Key Requirements

- CS or Math degree from a top-14 US university (Stanford, MIT, Berkeley, CMU, Georgia Tech, Princeton, Purdue, Carnegie Mellon, Columbia, etc.)

- Published research in AI/ML (peer-reviewed papers at top venues like NeurIPS, ICML, ICLR, ACL) — even from undergrad/masters counts

- 2+ years building and shipping production AI agents with real-world users (not demos or prototypes)

- Strong backend engineering experience at high-quality companies (Stripe, Uber, Ramp, Robinhood, Plaid, Block, etc.) with evidence of building fundamental, scaled systems

- Fluency with AI coding tools (Cursor, Claude Code) and strong communication skills for customer-facing interactions