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Founding Product Engineer
Job in
Charlotte, Mecklenburg County, North Carolina, 28245, USA
Listed on 2026-01-12
Listing for:
Catalyst Labs
Full Time
position Listed on 2026-01-12
Job specializations:
-
Software Development
AI Engineer
Job Description & How to Apply Below
Product Engineer
We are a fast growing standards and insurance startup based in San Francisco, raised $15 million, reinventing how enterprises adopt AI agents. Our model includes creating the first AI agent standard and pairing it with bespoke insurance coverage.
Our client specializes in AI risk, insurance, and standards, building the essential confidence infrastructure that enables AI companies to certify agents and reduces enterprise risk by protecting against failures such as hallucinations, data leaks, or control breakdowns.
LocationSan Francisco
Work typeFull Time
CompensationAbove market base + bonus + equity
Roles & Responsibilities- Lead end-to-end development of AI agent products and infrastructure, collaborating closely with the founding team.
- Build and scale evaluation pipelines to detect AI agent failures in deployment (e.g., hallucinations, jailbreaks, brand risks, data leakage).
- Design and implement the gold standard for secure, safe, and reliable AI agents.
- Develop and maintain full-stack systems, including backend (Python, Lang Chain) and frontend (React, Type Script) components.
- Create monitoring tools, filters, and authorization frameworks to support AI agent builders.
- Work on-site in San Francisco, contributing to a fast-paced, high-agency startup environment.
- Ship products frequently, gather user feedback, and iterate rapidly to improve reliability and safety of AI systems.
- Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience.
- 1+ years of experience as an AI Software Engineer with active coding responsibilities.
- Proven expertise developing AI agents and LLM-based systems (e.g., published research or work in a leading AI team).
- Founding or early-stage startup experience, with demonstrated ability to own end-to-end product development.
- Strong understanding of AI evaluation methodologies and deployment reliability standards.
- Excellent problem-solving and communication skills with the ability to articulate technical impact in business terms.
- Evidence of high agency, ownership, and execution velocity (e.g., promotions in
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