Founding Engineer
This is a founding engineer role at an early-stage AI startup building intelligent agent platforms for top-tier insurance carriers. You will own large swaths of the product end-to-end, working at the intersection of LLMs, unstructured data, and complex enterprise workflows where getting the answer right really matters.
What You'll Do- Build new AI agents and product features from scratch, owning entire modules from customer discovery through production deployment.
- Work on-site with enterprise customers to deeply understand their workflows, unstructured data, and pain points.
- Design and iterate on eval frameworks to ensure AI agents produce accurate, reliable outputs in specialized regulated domains.
- Build backends that ingest, structure, and reason over large volumes of unstructured data using LLMs.
- Act as a full-stack problem solver: writing code, conducting user research, self-educating on domain topics, and doing whatever it takes to make customers successful.
- 2+ years of experience building and shipping production LLM or AI agent systems.
- Strong proficiency in TypeScript and modern backend development.
- Hands-on experience with prompt engineering, eval design, context construction, and agentic workflow design.
- Background at an early-stage or high-growth startup, with clear evidence of shipping something real and genuinely hard.
- Demonstrated standout achievement: competitive athletics, academic competitions, founding or joining a startup early, open source with real users, or equivalent.
- Actively uses agentic engineering tools (such as AI-assisted coding environments) as a core part of your workflow.
- Comfortable working directly with enterprise customers and open to occasional on-site travel.
- Experience in regulated or data-intensive domains such as insurance, fintech, healthtech, or legaltech is a strong plus.
- CS degree or STEM equivalent preferred.
Base salary range: $180,000 to $280,000 USD annually, plus equity. Visa sponsorship is not available.
LocationOn-site in San Francisco, California, USA. Occasional travel to customer sites is expected.