Founding Engineer, AI/ML

San Franciscofull timeOn Site

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$130k–$170k

H1B: yes

Clera The Founding Engineer will build and own the intelligence layer for an AI-powered recruiting marketplace, focusing on recommendation, ranking, and retrieval systems. They will work closely with leadership to translate product goals into production systems using AI/ML technologies.

Responsibilities

Build the intelligence layer for an AI-powered recruiting marketplace, including the systems that match candidates with relevant roles. You will own this core product area and work closely with the founding team to turn product goals into production systems.
Own recommendation, ranking, and retrieval systems from design through production.
Build LLM-powered matching features that improve candidate-role alignment.
Take product features from problem definition to production, shipping at a rapid cadence.
Architect and maintain the data pipelines and services that support production models.
Work directly with company leadership to translate product goals into shipped systems.

Qualification

More than six months of substantive UReactSupabasePrismaEmbeddingsVector searchWorkflow automation tools

Required

Two to five years of software engineering experience building and shipping end-to-end product features.
Substantive experience shipping applied AI/ML products, including production recommendation, ranking, or matching systems.
Experience building LLM-powered features with production LLM APIs, and hands-on work with PyTorch, TensorFlow, or equivalent ML frameworks.
Strong production engineering skills in TypeScript or Python, plus experience with data pipelines and services.
Strong computer science fundamentals and experience working in fast-paced startup environments.
More than six months of substantive U.S.-based work experience.
React, Supabase, Prisma, Typesense or similar search infrastructure, embeddings, vector search, and workflow automation tools are helpful.
Demonstrated technical achievement through education, open-source contributions, or personal projects is valued.

Preferred

React
Supabase
Prisma
Typesense or similar search infrastructure
Embeddings
Vector search
Workflow automation tools
Demonstrated technical achievement through education, open-source contributions, or personal projects