Founding Engineer (AI/ML)

About this role

ABOUT THE ROLE

This is a foundational engineering role at a pre-seed AI recruiting marketplace, where you'll own the intelligence layer that powers candidate-role matching. You'll work directly alongside the founding team, shaping how recommendation systems, ranking algorithms, and LLM-driven features surface the right opportunities for both job seekers and employers.

WHAT YOU'LL DO

- Build and own AI/ML systems including recommendation engines and ranking algorithms that drive core product outcomes.

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

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

- Ship end-to-end product features to production on a rapid, daily cadence.

- Collaborate cross-functionally to translate product goals into reliable, scalable features.

WHAT WE'RE LOOKING FOR

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

- Proven experience building LLM-powered features with LLM APIs in production.

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

- Strong proficiency with TypeScript and React in production applications.

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

- Familiarity with Typesense or similar search and ranking infrastructure.

- Experience with workflow automation tools such as trigger.dev in production settings.

- Comfortable with Cursor as a development tool and in fast-moving, iterative startup environments.

- Strong CS fundamentals; exceptional academic background, open-source contributions, or notable personal projects are a plus.

- Thrives in a high-ownership, entrepreneurial environment with a bias toward building and shipping.

COMPENSATION & BENEFITS

- Salary: $130,000 – $170,000 USD annually

- Visa sponsorship: Available

LOCATION

Hybrid — San Francisco, United States. The team works primarily on-site and values in-person collaboration.