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Design, build, and maintain end-to-end full‑stack features across Python/FastAPI backend, Next.js frontend, and LLM inference pipelines. Collaborate cross‑functionally to deliver scalable AI-powered patent analysis, optimize performance, address production issues, and reduce technical debt while improving engineering practices.

Build and deploy production LLM/ML pipelines for patent workflows: retrieval, multi-step prompt pipelines, evals frameworks, fine-tuning, agentic workflows, monitoring, and cloud deployment. Collaborate with attorneys and cross-functional teams to convert domain expertise into robust, scalable inference and data solutions.

As a Customer Success Manager at Patlytics, you will manage the post-sale customer lifecycle, ensuring clients maximize value from the AI-powered patent intelligence platform through effective onboarding, relationship building, and proactive engagement.

Design intuitive AI-driven experiences for patent attorneys, focusing on legal workflows, user research, and collaboration with legal professionals to enhance product usability and trust.