About the Role
This is a foundational engineering role at an early-stage AI-powered recruiting marketplace, where you'll own the intelligence layer that connects top talent with the right opportunities. You'll build and ship recommendation systems, ranking algorithms, and LLM-powered matching features that directly shape the core product experience for both candidates and employers.
What You'll Do
-
Build and own AI/ML systems including recommendation engines and ranking algorithms.
-
Develop LLM-powered matching features to improve candidate-role alignment in production.
-
Architect and maintain production-grade data pipelines and backend services integrated with the full stack.
-
Collaborate cross-functionally to translate product goals into shipped, production-ready features.
-
Deliver end-to-end features with full ownership on a rapid, daily shipping cadence.
What We're Looking For
-
3+ years of professional software engineering experience shipping end-to-end product features in production environments.
-
Proven experience building LLM-powered features using LLM APIs in production.
-
Hands-on experience with recommendation systems, ranking algorithms, or ML-powered matching systems.
-
Strong proficiency in TypeScript and React in production applications.
-
Experience with Supabase, Prisma, and production database design.
-
Proficiency with Typesense or similar search and ranking infrastructure.
-
Experience with workflow automation tools such as trigger.dev in production settings.
-
Comfortable using AI-assisted development tools (e.g., Cursor) and similar modern tooling.
-
Background building in fast-paced startup environments with rapid iteration cycles.
-
Demonstrated exceptional technical achievement — strong open-source contributions, notable personal projects, or outstanding academic record.
-
Entrepreneurial mindset with comfort working in scrappy, high-ownership environments.
Compensation & Benefits
-
Salary: $130,000 – $170,000 USD annually
-
Visa sponsorship: Available
Location
Hybrid — based in San Francisco, CA, United States.