Software Engineer, AI

About Ambrook

Ambrook's mission is to make sustainability profitable for family-run businesses. 

In the face of historic heat waves, drought, flooding, supply chain disruptions, water shortages, and pollution, climate impacts are intensifying across industrial America: from farmers facing crop losses, to truckers navigating fuel volatility, to contractors managing material shortages. Evidence shows sustainable practice upgrades deliver financial returns – from water-efficient irrigation to fuel-efficient fleets – but these changes require significant upfront capital and a clear proof of return-on-investment to owner-operators facing tight cashflows and razor-thin margins already. With data scattered across paper records and outdated systems, operators struggle to forecast whether a practice change will improve their bottom line – let alone prove business health to lenders and other funders. 

Ambrook is solving this chicken-and-egg problem by re-architecting the financial data layer of America's independent businesses. We're replacing unruly paperwork and expensive, archaic tools with an affordable accounting, banking and payments platform that helps operators understand their numbers and access capital for sustainable transitions.

Ambrook customers are our economy’s historic backbone and a manifestation of the American Dream. Done right, both financial and environmental sustainability enables these entities to stay independent and resilient in the face of climate-driven volatility. 

We’re starting by building for farmers and ranchers across America. 

We’re a Series A startup backed by top investors (Thrive Capital, Dylan Field, Homebrew, Designer Fund, BoxGroup, and more) and are looking for early team members who are looking to untangle the knotted intersection between American industry and climate.

Learn more about our mission and what it’s like to work with us.

The opportunity

Ambrook is building a world-class team to empower industrial businesses using modern AI tools. As one of our first engineers focused on AI and machine learning, you’ll help lay the foundation for how we use LLMs and intelligent systems to make messy, high-stakes financial workflows faster, smarter, and more accessible for farmers and ranchers.

We’re dealing with problems like the messy inbox problem, cleaning and categorizing transactions, summarizing financial documents, and surfacing the right insights at the right time — and we need an engineer who’s excited to build AI-powered tools that actually work in the wild.

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

• Own: Development of intelligent systems and tools that use LLMs, NLP, and heuristics to streamline bookkeeping, inbox triage, and financial workflows.

• 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 and ship a feature powered by an LLM - e.g., parsing a new type of paper document, or categorizing financial transactions.

• Review our current uses of AI and write up a note identifying where AI could meaningfully improve automation and accuracy.

• Collaborate with product and engineering to understand customer workflows and where AI would reduce manual pain.

Within 3 months you'll...

• Establish early foundations for evaluation pipelines, prompt management, and feedback loops to improve LLM performance over time.

• Implement or improve systems for document extraction and financial transaction tagging, using both heuristics and model-based approaches.

• Collaborate closely with design and product to make AI features feel reliable, intuitive, and helpful, not mysterious or brittle.

Within 6 months you'll...

• Architect and scale systems for automated bookkeeping and analysis using hybrid AI + rule-based systems.

• Contribute to our long-term AI strategy: which tasks to automate, how to measure confidence, and when to keep a human in the loop.

• Help build internal tooling for prompt iteration, embedding search, labeling, and retraining.

• Share learnings in a post on Ambrook Research or an open-source tool that helps others tackle similar messy real-world data problems.

About you

• You've built and shipped ML/AI-driven features, ideally with LLMs, in a product that’s in production, not just in a notebook.

• You're excited to apply language models to real-world, unstructured, often ugly datasets, and turn them into valuable product experiences.

• You're pragmatic about AI: you know when to use an LLM, when to write a regular expression, and when to ask the user.

• Bonus: Experience working with LLM APIs, prompt engineering, embeddings, vector search, or fine-tuning.

• Bonus: You've worked on products involving transactions, finance, document processing, or communications tooling.

• Bonus: Experience with Typescript, React, and Python-based ML tooling (LangChain, OpenAI SDK, Pinecone, etc.).

Our Tech Stack

• Next.js / React application written in Typescript

• Hosted on Google Cloud

• Firestore & Google Cloud Storage for data storage

• BigQuery & Data Studio for data insights

Values

• Real Talk – We create space for ourselves and others to be straightforward, vulnerable, and accountable.

• Reach Understanding – We are driven by curiosity and empathy to learn about our customers, team, and world.

• Be Proactively Resourceful – We are internally motivated and externally empowered to identify opportunities and solve problems.

• Derisk Thoughtfully – We lean into the biggest risks we face as a company and put in the work to address them systematically.

• Find the Positive-Sum – We believe in creating incentive structures that align the needs of our company, our customers, and our planet.

• Ambrook is an equal opportunity employer. We are committed to building diversity and inclusion into our core company culture.

Benefits

• Competitive compensation

• Health insurance

• 401(k) with matching contribution

• Paid parental leave

• Flexible work hours and vacation time

• Work-from-home/remote office stipend

• Wellness stipend

• Professional development stipend