About the Role
This is an early engineering hire at a Y Combinator–backed AI recruiting marketplace, working directly with the founding team to build the intelligent systems that power talent matching across hundreds of high-growth startups. You'll have high ownership over core platform architecture and the opportunity to shape both technical direction and engineering culture from the ground up.
What You'll Do
Design and implement intelligent search, retrieval, and recommendation systems that drive core marketplace matching.
Build ML-driven ranking and retrieval pipelines using embeddings, structured signals, and behavioral data.
Ship full-stack product features end-to-end — from database schema and APIs to user-facing interfaces.
Develop AI-native automation workflows that help recruiters source faster and help companies evaluate talent more efficiently.
Own core marketplace infrastructure including recruiter routing, candidate evaluation pipelines, and coordination systems.
Launch features quickly, gather real user feedback, and iterate rapidly.
What We're Looking For
1–3 years of software engineering experience with meaningful exposure to AI or ML systems.
Strong proficiency in TypeScript and Python across frontend and backend development; familiarity with a modern full-stack such as Next.js and Supabase is a plus.
Hands-on comfort with LLMs, embeddings, vector databases, and retrieval pipelines.
Experience designing APIs and working with relational databases (e.g. Postgres); familiarity with AWS RDS is a plus.
Product-minded builder who cares about UX and can independently turn ambiguous problems into working systems.
Comfortable moving fast in an early-stage environment with evolving specs and shifting priorities.
Prior experience with marketplace products, search, or recommendation systems is a plus.
Compensation & Benefits
Salary range: $120,000 – $200,000 USD annually, plus equity. Visa sponsorship is not available for this role.
Location
On-site in San Francisco, CA.
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