Founding Product Engineer

About the Company

A fast‑growing standards and insurance startup based in San Francisco that has raised $15 million in funding and is reinventing how enterprises adopt AI agents. Its model focuses on creating the industry’s first AI agent standard and pairing it with bespoke insurance coverage, giving AI companies a trusted pathway to certify their agents and reduce enterprise risk. By helping AI vendors earn credible certification and providing insurance protection against failures—such as hallucinations, data leaks, or control breakdowns—they enable enterprise buyers to deploy AI with confidence rather than fear.

With deep expertise in AI risk, insurance, and standards, the company is building the essential “confidence infrastructure” that will support safe AI scale‑up.

Founded by an AI startup, this role focuses on end‑to‑end development of AI agent products and infrastructure in a fast‑paced, high‑agency environment.

Location: San Francisco

Work type: Full Time

Compensation: Above market base + bonus + equity

• 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