Founding Engineer (AI/ML)

About The Role A pre-seed AI recruiting marketplace startup is looking for a Founding AI/ML Engineer to shape the core intelligence layer of their platform. You'll own recommendation systems, ranking algorithms, and LLM-powered matching that connects top talent with the right opportunities — driving impact for both candidates and employers. This is a foundational, high-ownership role at the earliest stage of a fast-moving company. What You'll Do Build and own the AI/ML intelligence layer, including recommendation systems and ranking algorithms. Develop LLM-powered candidate-role matching to improve alignment quality and relevance. Collaborate cross-functionally to translate product goals into production-ready features. Ship end-to-end features daily with full ownership from development through production deployment. Architect and maintain production-grade data pipelines and services integrated with the broader stack. What We're Looking For Required Strong CS fundamentals with experience delivering end-to-end product features in a fast-paced startup environment. Proficiency with TypeScript and React. Hands-on experience with Cursor, Supabase, Prisma, Typesense, LLM APIs, and trigger.dev in production-grade projects. Proven track record of shipping to production daily and owning features independently. Experience thriving in entrepreneurial, resource-constrained, move-fast environments. Something outstanding in your profile — e.g., strong academic record, notable projects, or an active GitHub with impressive contributions. Open to working on-site in a hackerhouse setup in San Francisco (6 days/week, high-intensity environment). Nice To Have Prior experience building recommendation or ranking systems at scale. Background working in or with venture-backed startup ecosystems. Compensation & Benefits Salary: $130,000 – $170,000 USD annually Equity participation as a founding team member Visa sponsorship available Location On-site in San Francisco, CA, United States . This role involves working from a hackerhouse in San Francisco in a high-intensity, in-person setup. Remote work is not available for this position. Show more Show less