Ambrook-posted 4 months ago
Full-time • Entry Level
New York, NY
11-50 employees

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.

  • Own the 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 internal tooling and infrastructure for classification, tagging, summarization, and user-in-the-loop AI systems.
  • Experience building and shipping ML/AI-driven features, ideally with LLMs, in a product that’s in production.
  • Excitement to apply language models to real-world, unstructured datasets.
  • Pragmatic understanding of when to use an LLM, when to write a regular expression, and when to ask the user.
  • Experience working with LLM APIs, prompt engineering, embeddings, vector search, or fine-tuning.
  • Experience with products involving transactions, finance, document processing, or communications tooling.
  • Familiarity with Typescript, React, and Python-based ML tooling (LangChain, OpenAI SDK, Pinecone, etc.).
  • 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
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