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Founding Engineer (AI/ML)

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Summary

Founding-level AI/ML engineer at an early-stage AI recruiting marketplace, owning the intelligence layer behind candidate-role matching: recommendation engines, ranking algorithms, and LLM-powered features, plus production data pipelines and backend services. Stack includes TypeScript/React, Supabase/Prisma, and Python with PyTorch or TensorFlow.

About the Role

This is a founding-level AI/ML engineering role at an early-stage AI recruiting marketplace, where you will own the intelligence layer that powers candidate-role matching. You will build the recommendation systems, ranking algorithms, and LLM-powered features that sit at the core of the product, making a direct impact on how talent and opportunities connect.

What You'll Do

  • Design, build, and own AI/ML systems including recommendation engines and ranking algorithms.

  • Develop and ship LLM-powered matching features that improve alignment between candidates and roles.

  • Architect and maintain production-grade data pipelines and backend services integrated with the full stack.

  • Collaborate cross-functionally to translate product goals into production-ready features.

  • Deliver end-to-end features at a rapid cadence, shipping to production daily.

What We're Looking For

  • 3+ years of experience as a software engineer building and shipping end-to-end product features in production environments.

  • Proficiency with LLM APIs and a track record of building LLM-powered features in production.

  • Experience building recommendation systems, ranking algorithms, or ML-powered matching systems.

  • Strong proficiency in TypeScript and React in production applications.

  • Hands-on experience with Supabase, Prisma, and database design in production systems.

  • Python and production ML framework experience, such as PyTorch or TensorFlow.

  • Experience shipping ML models or ML-powered products to production (not research-only).

  • Familiarity with search and ranking infrastructure (e.g., Typesense or similar).

  • Experience with workflow automation tools such as trigger.dev or equivalents.

  • Strong CS fundamentals and comfort operating in fast-paced, entrepreneurial startup environments.

  • Prior founding, early-employee, or fast-growing AI startup experience is a plus.

  • Candidates requiring visa sponsorship must already have U.S. work authorization, or be European nationals.

Compensation & Benefits

  • Salary: $130,000 to $170,000 per year

  • Visa sponsorship: available for European nationals; non-European candidates require existing U.S. work authorization

Location

Hybrid, based in San Francisco, California. Candidates should be located in San Francisco or willing to relocate.

Skills

See also

ML / AI jobs by country — openings, pay and top skills →

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