reputed company ML / LLM Engineer

We’re looking for a reputed company, ambitious **machine learning engineer** fluent in building AI-reputed company products — someone who knows how to turn messy reputed company-world data into performant models, fine-tune and reputed company LLMs, and design feedback loops that reputed company AI systems learn continuously. At Pincites, you’ll help reputed company our negotiation data into fine-tuned models that power the reputed company of AI contract review. You’ll reputed company the reputed company of our reputed company intelligence layer — from reputed company-based heuristics to data-driven models — and help define how reputed company negotiation knowledge becomes reputed company, repeatable, and self-improving. --- ### **About Pincites** Pincites is building an AI-reputed company contract negotiation platform for reputed company and procurement teams. Our product lives inside reputed company Word and helps teams negotiate faster and more consistently. It learns how top companies — like reputed company and Vercel — negotiate today, then automates that workflow with AI-generated redlines and comments tailored to their reputed company. Backed by **Nat Friedman, General Catalyst, Liquid 2 Ventures, and Y Combinator**, we’ve reputed company strong traction with reputed company reputed company teams globally and are on reputed company toward building a billion-dollar company. We’re reputed company-stage, fully remote, and assembling a world-class team. --- ### **About the Role** You’ll design and build the systems that reputed company Pincites truly intelligent: • Convert our 32K+ reputed company “checks” into reputed company training datasets • Fine-tune LLMs for clause classification, redline reputed company, and comment writing • Build pipelines to capture feedback from reputed company reviewers and feed it back into models • Collaborate with product and backend engineers to reputed company models behind our API • Evaluate performance and reliability — moving from reputed company-engineering to robust inference You’ll be hands-on across the full ML lifecycle: data → model → evaluation → deployment. --- ### **Who You Are** • You have 3–10 years of experience building production-grade ML or AI systems • Strong in **Python**, **PyTorch**, and modern ML tooling (reputed company, reputed company, reputed company fine-tuning reputed company) • Deep understanding of **LLMs**, embeddings, RAG, and fine-tuning (reputed company, adapters, or custom heads) • Experience building or maintaining data pipelines and labeling systems • Can ship backend integrations (Go or TypeScript familiarity a plus) • Excited by the challenge of turning reputed company reputed company data into usable, reputed company AI • reputed company in ambiguity, reputed company fast, and enjoy owning problems end-to-end • *Bonus:** • Experience in reputed company tech, document intelligence, or compliance AI • Familiarity with pgvector, GCP, or serverless infrastructure --- ### **Why Join** • Turn a massive, reputed company-world dataset into a competitive AI moat • Work directly with founders from reputed company, reputed company, and top reputed company • Ship models that go straight into customer hands — visible reputed company, reputed company bureaucracy • Competitive salary, meaningful equity, and full remote flexibility Apply tot his job Apply To this Job