Founding AI Engineer

We’re looking for a founding AI/ML engineer to build the intelligent systems at the heart of our product.

You’ll work directly with the founders and customers and own the full production loop: data, model selection and adaptation, evaluations, serving, monitoring, and iteration. You’ll turn messy, real-world financial information into reliable decisions and actions.

You'll:

Build production AI systems for complex, high-stakes workflows

Develop models and pipelines for understanding unstructured and structured financial data

Design evaluation systems that measure quality, reliability, latency, and cost

Build feedback loops that turn customer usage into better models and products

Decide when to use foundation models, specialized models, deterministic systems, or a combination

Ship constantly, observe real-world performance, and iterate with customers

Establish the ML infrastructure and standards that future hires inherit

Evidence that you’ve shipped ML systems that real users touched

Strong software engineering fundamentals beyond notebooks and prototypes

Experience evaluating, adapting, and operating modern models in production

Sound judgment about model quality, failure modes, latency, and cost

Pragmatism: you use the simplest approach that reliably solves the problem

Fluency with AI coding agents and the ability to use them without outsourcing your engineering judgment

Live in San Francisco and are available to work in person with the team 5 days a week.

Experience with Python, PyTorch, model serving, LLMs, retrieval, document intelligence, or multimodal systems is helpful, but the ability to learn and execute matters more. You don’t need prior experience in lending or commercial real estate.