Applied ML / LLM Engineer

Were looking for a sharp, ambitious machine learning engineer fluent in building AI-native products someone who knows how to turn messy real-world data into performant models, fine-tune and deploy LLMs, and design feedback loops that make AI systems learn continuously.

At Pincites, youll help transform our negotiation data into fine-tuned models that power the next generation of AI contract review. Youll lead the evolution of our core intelligence layer from prompt-based heuristics to data-driven models and help define how legal negotiation knowledge becomes scalable, repeatable, and self-improving.

About Pincites

Pincites is building an AI-native contract negotiation platform for legal and procurement teams. Our product lives inside Microsoft Word and helps teams negotiate faster and more consistently. It learns how top companies like Ramp and Vercel negotiate today, then automates that workflow with AI-generated redlines and comments tailored to their playbook.

Backed by Nat Friedman, General Catalyst, Liquid 2 Ventures, and Y Combinator , weve built strong traction with enterprise legal teams globally and are on track toward building a billion-dollar company. Were seed-stage, fully remote, and assembling a world-class team.

About the Role

Youll design and build the systems that make Pincites truly intelligent :

• Convert our 32K playbook checks into structured training datasets
• Fine-tune LLMs for clause classification, redline generation, and comment writing
• Build pipelines to capture feedback from human reviewers and feed it back into models
• Collaborate with product and backend engineers to deploy models behind our API
• Evaluate performance and reliability moving from prompt-engineering to robust inference

Youll be hands?on across the full ML lifecycle : data ? model ? evaluation ? deployment.

Who You Are

Bonus :

Why Join

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