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NLP Engineer

Tom Weston

Full-time · Mid-level · UTC

About the role

We believe that language models, used carefully, can make expert knowledge accessible to people who can't afford to pay for it. We're building an AI legal assistant that helps small businesses understand their contracts without hiring a lawyer at $400/hr. The NLP work is genuinely difficult — retrieval-augmented generation across long legal documents, reducing hallucinations in high-stakes answers, managing context windows with thousands of clause variations across jurisdictions. We're not looking for someone who has already solved every one of these problems. We're looking for someone who reads the latest research on a Sunday morning and gets excited about applying it to something that actually changes people's lives. Our stack is Python, LangChain, and Azure OpenAI. We use Hugging Face for evaluation and fine-tuning experiments.

Responsibilities

  • Build and improve the RAG pipeline powering our legal document assistant
  • Design and run experiments to reduce hallucination rates in long-document QA
  • Work with the product team to translate user feedback into NLP improvements
  • Write clear technical documentation for every component you own
  • Review AI research relevant to our domain and propose what to test next

Requirements

  • 3+ years of production NLP engineering — deployed systems, not just notebooks
  • Solid experience with retrieval-augmented generation (RAG) pipelines
  • Hands-on with LangChain or similar orchestration frameworks
  • Familiarity with Hugging Face transformers for evaluation or fine-tuning
  • Experience deploying on Azure or a comparable cloud environment
  • Able to read and reason about AI research papers, not just implement tutorials

Benefits

  • Real mission — legal access for people who can't afford it
  • Fully remote across EU and US time zones
  • $90,000 – $115,000 base salary + equity
  • Conference budget and research time built into your schedule
  • Small team — your decisions matter and ship quickly

Job Type

Full-time

Level

Mid-level

Language

English

Salary Range

$90,000 – $115,000

AI Expertise

NLP & Prompt Engineering

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