Ambrook
Software Engineer, AI
San Francisco
Sponsorship not specifiedDetected 322 days ago
TypeScriptPythonReactNext.jsBigQueryGCPMachine LearningNLPLLMsAccountingResearchCommunication
About the role
- 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 across the financial landscape, from better receipt parsing and review to auto-categorization to intelligent conversational AI features that let people get a deeper understanding of their books and their business with fewer clicks.
- We've got a big vision of making AI work for real family businesses, not just mega-corps.
Responsibilities
- Best practices around ML system design, evaluation, prompt engineering, and scalable AI infrastructure.
- Build and ship a feature powered by an LLM - e.g., parsing a new type of paper document, or categorizing financial transactions.
- Collaborate with product and engineering to understand customer workflows and where AI would reduce manual pain.
- 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.
- Help build internal tooling for prompt iteration, embedding search, labeling, and retraining.
- Teach: Best practices around ML system design, evaluation, prompt engineering, and scalable AI infrastructure.
Nice to have
- Experience working with LLM APIs, prompt engineering, embeddings, vector search, or fine-tuning.
- Next.js / React application written in Typescript
- Hosted on Google Cloud
- Firestore & Google Cloud Storage for data storage
- BigQuery & Data Studio for data insights
- Derisk Thoughtfully - We lean into the biggest risks we face as a company and put in the work to address them systematically.
- Ambrook is an equal opportunity employer.
- You've built and shipped ML/AI-driven features, ideally with LLMs, in a product that's in production, not just in a notebook.
Compensation
- Competitive compensation
Benefits
- Health insurance
- Paid parental leave
- Flexible work hours and vacation time
- Wellness stipend
- Professional development stipend
- Work-from-home/remote office stipend
Company info
- We are rebuilding the financial infrastructure that independent operators rely on.
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This listing is sourced directly from Ambrook's careers page and normalized into a canonical job model.