Pincites

www.pincites.com

1 Job

5 Employees

About the Company

Pincites makes contract negotiations faster and more consistent for legal teams. Using advanced language models, Pincites allows legal teams to build robust contract playbooks that any internal team can apply consistently within Microsoft Word. Sign up for a demo and a free trial www.pincites.com

Listed Jobs

Company Name: Pincites
Job Title: Applied ML / LLM Engineer
Job Description: **Job Title:** Applied ML / LLM Engineer **Role Summary:** Design, develop, and deploy production‑grade machine‑learning solutions that transform large volumes of unstructured legal negotiation data into fine‑tuned large language models (LLMs). Own the end‑to‑end ML lifecycle—including data preparation, model training, evaluation, feedback integration, and API deployment—to enable AI‑driven contract review and negotiation automation. **Expectations:** - 3–10 years of hands‑on experience building and scaling ML/AI systems in production. - Proven ability to work autonomously in ambiguous, fast‑moving environments. - Strong collaboration with product, backend, and data engineering teams. - Commitment to delivering high‑quality, reliable AI features that directly impact customers. **Key Responsibilities:** - Convert >32K legal “checks” into structured training datasets. - Fine‑tune LLMs for clause classification, redline generation, and comment drafting using techniques such as LoRA, adapters, or custom heads. - Build and maintain data pipelines and labeling workflows for continuous model improvement. - Implement feedback loops that ingest reviewer corrections and update model performance. - Deploy models behind scalable APIs; integrate with backend services (Go/TypeScript preferred). - Conduct performance, reliability, and bias evaluations; transition from prompt‑engineering to robust inference. - Document model versions, experiments, and operational metrics using tools like Weights & Biases. **Required Skills:** - Proficiency in Python and PyTorch. - Experience with modern ML tooling (Hugging Face, OpenAI fine‑tuning APIs, Weights & Biases). - Deep understanding of LLMs, embeddings, Retrieval‑Augmented Generation (RAG), and fine‑tuning strategies. - Strong background in building data pipelines, labeling systems, and versioned datasets. - Ability to ship backend integrations; familiarity with Go or TypeScript is a plus. - Knowledge of cloud platforms (GCP) and vector databases (e.g., pgvector) advantageous. **Required Education & Certifications:** - Bachelor’s degree in Computer Science, Machine Learning, Data Science, or a related technical field (Master’s preferred). - No specific certifications required; demonstrated experience and portfolio of production ML systems are essential.

San francisco, United states

Hybrid

Junior

19-10-2025