Founding Engineer (AI/ML)

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.