ABOUT THE ROLE Build the intelligence layer for an AI-powered recruiting marketplace, including the systems that match candidates with relevant roles. As a founding engineer, you will take ownership of recommendation, ranking, retrieval, and LLM-powered matching from early design through production. WHAT YOU'LL DO - Own the AI/ML systems for recommendations, ranking, and retrieval. - Build and improve LLM-powered candidate-to-role matching. - Turn product goals into working features and ship them at a rapid cadence. - Architect and maintain the production data pipelines and services that support models. - Work directly with company leadership to deliver product systems end to end.
WHAT WE'RE LOOKING FOR - Two to five years of software engineering experience building and shipping production product features. - Applied ML engineering experience at a product company or startup, including production recommendation, ranking, or matching systems. - Experience shipping LLM-powered features using LLM APIs, as well as hands-on work with PyTorch, TensorFlow, or equivalent ML frameworks. - Strong production engineering skills in TypeScript or Python, with experience maintaining data pipelines and services. - Strong computer science fundamentals and comfort with fast-paced, iterative startup work. - React experience is useful, as are Supabase, Prisma, Typesense or similar search infrastructure, embeddings, vector search, and workflow automation tools. - Evidence of strong technical achievement through education, open-source work, or personal projects.
COMPENSATION & BENEFITS Base salary is $130,000 to $170,000 annually, plus founding-hire equity. Visa sponsorship is available. LOCATION On-site in San Francisco, California. The role requires working in person six days per week. Relocation assistance is available.
Job description provided by Clera.
View the original posting
