2-5 years of experience in end-to-end software development in production environments.
Experience with recommendation systems, ranking algorithms, or ML-powered matching.
Applied machine learning experience, including deploying models or ML products.
Proficiency in TypeScript or Python, with knowledge of LLM APIs and ML frameworks like PyTorch or TensorFlow.
Experience in building and maintaining production data pipelines, preferably in a startup setting.
Strong computer science fundamentals with evidence of technical contributions, such as open-source work.
Familiarity with React, embeddings, vector search, and workflow automation tools.
Responsibilities
Build and own recommendation, ranking, retrieval, and matching systems.
Develop LLM-powered features to enhance candidate-role alignment.
Take product features from problem definition to implementation and production release.
Architect and maintain data pipelines and services for production models.
Collaborate with leadership to rapidly ship improvements.
Benefits
Founding-hire equity.
Visa sponsorship available for eligible candidates.
Full Job Description
About the Role
Build the intelligence layer for an AI-powered recruiting marketplace, including the systems that recommend and match candidates with roles. As a founding engineer, you will own this core product area and work closely with company leadership to turn product goals into production systems. What You'll Do
Build and own recommendation, ranking, retrieval, and matching systems.
Develop LLM-powered features that improve alignment between candidates and roles.
Take product features from problem definition through implementation and production release.
Architect and maintain the data pipelines and services that support production models.
Collaborate with company leadership and ship improvements at a rapid cadence.
What We're Looking For
Two to five years of experience building and shipping end-to-end software features in production environments.
Production experience with recommendation systems, ranking algorithms, or ML-powered matching.
Applied machine learning experience, including shipping models or ML-powered products to users.
Proficiency in TypeScript or Python, plus experience with production LLM APIs and ML frameworks such as PyTorch or TensorFlow, or equivalent.
Experience building and maintaining production data pipelines and services, ideally in a fast-paced startup environment.
Strong computer science fundamentals and evidence of notable technical work, such as open-source contributions or personal projects.
Helpful experience includes React, embeddings, vector search, Supabase, Prisma, Typesense, or workflow automation tools.
Compensation & Benefits
Base salary is $130,000 to $170,000 annually, plus founding-hire equity. Visa sponsorship is available for eligible candidates. Location
On-site in San Francisco, California. This role works in person six days per week.
