Software Engineer, AI

Ambrook is building AI tools for farmers, ranchers, and small-business owners. The Software Engineer, AI will develop intelligent systems that use language models and other AI approaches to streamline bookkeeping and financial workflows, and improve the infrastructure used to evaluate and operate those systems.

Responsibilities

• 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
• 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
• Act on your proposals from month one: scaling our evaluation pipelines, making our harnesses more extensible, and so on
• 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
• Own and scale the systems that form the backbone of our vision for an AI CFO
• 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 engineering blog or an open-source tool that helps others tackle similar messy real-world data problems

Preferred

• You've worked on products involving transactions, finance, document processing, or communications tooling
• Experience with TypeScript and AI tooling — e.g. Vercel AI SDK, Braintrust or similar eval vendors, and provider APIs (Anthropic, OpenAI, Gemini, Jev)
• Transaction Products
• Financial Products
• Document Processing
• Communications Tooling
• TypeScript
• Vercel AI SDK
• Braintrust
• AI Evaluation Vendors
• Anthropic API
• OpenAI API
• Gemini API
• Jev API

Benefits

• Equity
• 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
• Hybrid work arrangement

Company

• Bookkeeping and financial tools for family-run businesses
• New York, New York, USA
• https://ambrook.com/
• Founded in 2020
• 51-200 employees

Qualifications

• You've built and shipped ML/AI-driven features to production
• 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
• You understand the value of experimentation in a rapidly evolving world
• You have experience working with LLM APIs, prompt engineering, embeddings, vector search, or fine-tuning
• You've worked on products involving transactions, finance, document processing, or communications tooling
• Experience with TypeScript and AI tooling — e.g. Vercel AI SDK, Braintrust or similar eval vendors, and provider APIs (Anthropic, OpenAI, Gemini, Jev)

Required skills

• Anthropic API, Artificial Intelligence, Braintrust, Document Processing, Embeddings, Financial Transaction Processing, Gemini API, LLM APIs, Machine Learning, Model Fine-Tuning, OpenAI API, Prompt Engineering, Regular Expressions, TypeScript, Vector Search, Vercel AI SDK