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# Founding Engineer, AI/ML

- **Company:** CLERA, LLC
- **Location:** San Francisco, CA, United States
- **Salary:** $130,000.0 - $170,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Automated Storage and Retrieval Systems, Python (Programming Language), PostgreSQL, Prism (Software), Tensorflow, Search Technologies, Software Engineering, TypeScript, Pytorch, ReactJS, Large Language Models, Free and Open-Source Software, Data Pipelines
- **Published:** October 28, 2026
- **Apply:** https://www.thejobnetwork.com/job/ee000bfb-f1e1-4301-a3f0-adb6c4368916/founding-engineer-aiml

## About the Role

* 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.

## Description

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.

What You'll Do

 * 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.