Back-end engineer to build and scale NLPatent's AI-first patent research platform. Work with CTO and senior engineers to develop Python/Django services, containerized deployments, and relational database-backed features. Collaborate on integrating NLP/LLM capabilities and ensure production-ready systems. Hybrid role requiring three days onsite weekly.

As a Staff Applied Scientist, lead data and NLP projects, enhance search performance, and design agentic workflows at NLPatent.

Technical lead for data and NLP: improve search precision/recall and performance, optimize search algorithms, design and implement agentic LLM workflows, build and maintain data pipelines, and lead ML model development and deployment.