Enter a job title or keyword

Staff Senior Engineer San Francisco, CA 225K-300K


Job Location:

San Francisco, CA - USA

Yearly Salary: $ 225000 - 300000
Posted: 29 June 2026 (30+ days ago)
Application Deadline: 26 September 2026
Vacancies: 1 Vacancy

Job Summary

Location: San Francisco CA (in-person 5 days a week)

Compensation: $225000 - $300000 per year

Join a fast-growing enterprise AI startup as a Staff or Senior Engineer leading technical direction on a platform that turns operational audits into deployed AI systems for Fortune 5000 companies.

What Youll Own

- Own the technical architecture: agent orchestration process mining infrastructure diagnostic pipelines and the control plane that turns audit outputs into deployed AI systems

- Architect compound AI systems running inside large enterprise environments: multi-step agents retrieval pipelines evaluation frameworks human-in-the-loop governance

- Set the engineering pace shipping to production weekly rather than quarterly

- Recruit mentor and lead engineers setting code review standards and building a team that scales

- Bridge research and production staying current on foundation models agent frameworks and inference optimization and translating whats useful into production systems

What Youll Bring

- A strong signal of exceptional technical ability with company quality and demonstrated output mattering more than years of experience alone

- Experience building and shipping systems at a top AI lab or as a founding or senior engineer at a high-signal AI-native startup

- Deep production AI/ML systems experience across the full stack: inference orchestration evaluation and monitoring

- Strong systems design instincts architecting for reliability scale and iteration speed at the same time

- High agency strong recruiting instincts and a sense of ownership over outcomes not just code

- Based in San Francisco or willing to relocate working in person 5 days a week

Nice to Have

- Experience with agent systems compound AI workflows or LLM-powered applications in production

- Background in process mining workflow automation or enterprise integration

- Infrastructure depth such as Kubernetes distributed systems or cloud architecture

- Previous founding engineer or CTO experience at a venture-backed startup

- Published research or significant open-source contributions in AI/ML

This role has a direct path to CTO with founding-level scope and ownership over the entire technical vision of a fast-growing company already working with Fortune 5000 clients.