About the RoleJoin an engineering team building AI software for hospitality operations. You will own full-stack components of an AI system that handles guest requests, from understanding intent and retrieving relevant information to coordinating tools and generating responses.
What You'll Do- Design and build systems that classify guest requests, assemble context, select tools, and decide when to respond or escalate.
- Develop retrieval pipelines that ground responses in accurate and current customer information.
- Build reliable orchestration for multi-step workflows, including handling third-party API failures during conversations.
- Create evaluation frameworks to assess response quality and catch regressions before release.
- Implement observability and tracing that help support teams understand system behavior.
- Build controls that let non-technical teams adjust agent behavior without writing code.
- Extend agent capabilities to voice conversations with real-time transcription and tool use.
- Improve performance and cost through model routing, caching, and prompt refinement.
- Contribute to infrastructure, data pipelines, integrations, and APIs.
What We're Looking For- At least 5 years of professional software engineering experience, including 3 or more years building production systems used by real people.
- Experience designing and debugging production AI or ML systems, including retrieval pipelines, prompt engineering, or model orchestration.
- Proficiency across multiple areas of the stack, such as backend, frontend, infrastructure, or data pipelines.
- Experience building and evaluating retrieval systems, multi-step workflows, and production observability or evaluation tools.
- Proficiency in a backend language such as Python, Go, Rust, Java, or a similar language, plus experience integrating third-party APIs.
- Strong judgment in selecting AI models and measuring system quality, reliability, latency, and cost.
Compensation & BenefitsBase salary: $130,000 to $220,000 annually, plus 0.20% to 1.20% equity, health insurance, and a 401(k) match. Visa sponsorship is not available.
LocationOn-site in San Francisco, California.
