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