This RoleLegal work is buried in unstructured documents, repetitive workflows, and data that no existing system handles well - and we're building the AI to fix it. As a Member of the Technical Staff at Finch, you'll own the full lifecycle of AI systems, from prototype to production, working on problems where a single breakthrough can meaningfully change how law firms operate.
What You'll DoThis is a hands-on applied AI role where you'll build and ship production systems - not just run experiments. The scope will grow as our product and team do.
- Build voice agents, browser agents, OCR pipelines, and LLM-powered workflows that work reliably in production.
- Design rigorous evaluation frameworks and feedback loops to systematically improve model accuracy and reliability.
- Own the full ML lifecycle - model selection, fine-tuning, prompt design, deployment, and monitoring.
- Collaborate directly with product, ops, and legal experts to make sure the AI is solving the right problems.
- Track emerging research and tools, and make deliberate calls about when to bring them into our stack.
Who We Have in MindThis role is for technical team members who care about outcomes over algorithms and are just as comfortable in production as they are in a notebook. Here's what that requires.
Must-Haves- 3+ years building and deploying production ML systems.
- Strong Python skills and experience working across the ML stack end-to-end.
- Hands-on experience with LLMs, prompt engineering, and evaluation design.
- A track record of shipping observable, maintainable AI systems - not just prototypes.
Nice-to-Haves- Experience with NLP, OCR, speech, or agent frameworks (LangChain, OpenAI APIs, etc.).
- Prior work at an early-stage startup where you helped define ML infrastructure from scratch.
- Familiarity with legal tech, document-heavy workflows, or regulated industries.
This Role Might Not Be For You If- You prefer research or experimentation over owning systems in production.
- You do your best work with a well-scoped problem and a stable, established ML platform.
- You're looking for a remote-first role - this one is 4 days/week in our NYC office.
CompensationThe expected package for this role includes base salary + commission + equity.
- Base salary = $180,000 - $280,000.
Benefits- 100% coverage for health, dental, and vision.
- 401(k) retirement plan.
- In-office snacks, drinks, and daily team lunches and dinners.
- Flexible PTO (we trust you to take the time you need).
Interview Process- Intro: An initial call to see if there's a mutual fit.
- Technical Interview: A conversation and technical exercise with a member of our team.
- Onsite: A visit to our NYC office to interview, meet the team, and have lunch.
