Software Engineer, AI

About the role

Ambrook helps American family-run businesses become more profitable and resilient. From volatile markets to climate shifts, independent operators face mounting pressure. While sustainable investments often yield the best long-term returns, they require financial clarity and capital that fragmented legacy systems can’t provide.

We are rebuilding the financial infrastructure that real economy operators rely on. By replacing paperwork with modern tools for accounting, banking, and spending, Ambrook gives owners the data they need to prove viability to lenders and the next generation. We empower the stewards of land and labor to make confident investments in their future.

We’re a Series B startup backed by Lachy Groom, Thrive Capital, Dylan Field, Thomson Reuters Ventures, Cameron Ventures, and leaders at Notion, Gusto, and Vercel. We’re looking for team members to help us untangle the intersection of American industry, climate, and the economy.

The opportunity

Ambrook is building a world-class team to empower farmers, ranchers, and small-business owners using modern AI tools. You’ll shape how we use LLMs and intelligent systems to make messy, high-stakes financial workflows faster, smarter, and more accessible for users across the country.

We’re shipping features that lift our customers out of the drudgery of rote bookkeeping and that help them make smart financial decisions, from cashflow management, to enterprise P&L analysis to long term investment planning. Our goal is to supplement our customer’s talents and savvy with the intelligence of a fortune 500 finance team in the form of an AI CFO.

We’re looking for someone who we can count on to:

- Own: Development of intelligent systems and tools that use LLMs, other generative AI solutions and heuristics to streamline bookkeeping, financial workflows and deeper applications that truly understand the user, as well as the infrastructure for evaluating those systems.

- Teach: Best practices around ML system design, evaluation, prompt engineering, and scalable AI infrastructure.

- Learn: How messy real world financial data really is - from scanned PDFs to unformatted CSVs to text-heavy emails - and how to make sense of it using language models.

- Improve: Our internal tooling and infrastructure for classification, tagging, summarization, and user-in-the-loop AI systems.

Within 1 month you'll...

- Build an assistant that powers a critical bookkeeping workflow.

- Collaborate with operations, product and engineering to understand customer workflows and where AI would reduce user pain.

- Review our current AI infrastructure and propose improvements to our evaluation infrastructure, harness design, shared memory, durability and similar foundational components.

Within 3 months you'll...

- Act on your proposals from month one: scaling our evaluation pipelines, making our harnesses more extensible, and so on.