Software Engineer, AI

🕒 September 5, 2025

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Ambrook

WebsiteLinkedInAll Job Openings

11 - 50 employees

🏢 Enterprise

💸 Finance

💰 Series A on 2022-05

Software • Enterprise • Finance

Ambrook is a company that offers accounting software tailored for American industries such as farming, ranching, processing, manufacturing, trucking, and construction. Their platform helps businesses centralize workflows, capture receipts, deposit checks, and manage invoices and bills, all in one place. With smart tags and AI matching, users can automate bookkeeping tasks, analyze profitability across different business lines, and streamline tax preparation. The software is praised for its efficiency and ease of use compared to other solutions like QuickBooks. Ambrook aims to provide financial clarity and time-saving benefits for businesses across diverse and complex industries.

📋 Description

• 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 and make sense of it using language models. • Improve internal tooling and infrastructure for classification, tagging, summarization, and user-in-the-loop AI systems. • Build and ship LLM-powered features (e.g., document parsing, transaction categorization) and review current AI usage. • Collaborate with product, engineering, and design to integrate AI into customer workflows and make features reliable and intuitive. • Establish foundations for evaluation pipelines, prompt management, and feedback loops to improve LLM performance. • Implement or improve systems for document extraction and financial transaction tagging using heuristics and model-based approaches. • Architect and scale hybrid AI + rule-based systems for automated bookkeeping and analysis; contribute to long-term AI strategy. • Build internal tooling for prompt iteration, embedding search, labeling, and retraining; share learnings publicly.

🎯 Requirements

• 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.).

🏖️ Benefits

• Competitive compensation • Offers 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