Member of Technical Staff

About this role

About the RoleJoin a small engineering team building AI software for hospitality operations. You will own full-stack components of systems that handle guest requests, from understanding intent and retrieving relevant information to coordinating tools and generating responses. What You'll DoBuild response-generation components, including intent routers, orchestrators, and systems for deciding when to respond or escalate.

Develop retrieval pipelines that ground responses in accurate, current customer information.

Create reliable tool orchestration for multi-step workflows, including recovery from third-party API failures.

Build evaluation frameworks to assess real conversations and identify regressions before release.

Implement observability and tracing that help support teams understand system behavior.

Create interfaces and controls that let non-technical users configure agent behavior.

Extend capabilities to voice, including real-time transcription and tool use.

Improve speed and cost through model routing, caching, and prompt refinement, while contributing to infrastructure, data pipelines, integrations, and APIs.

What We're Looking ForAt least 5 years of professional software engineering experience, including 3 or more years building and shipping production systems used by real people.

Substantive startup or founder experience delivering real products.

Experience designing and debugging production AI or machine learning systems, including retrieval, prompt engineering, or model orchestration.

Experience building and evaluating retrieval systems, such as knowledge bases, ranking, context validation, or semantic search.

Experience with multi-step workflows, tool orchestration, or function calling, as well as production evaluation and testing methods.

Proficiency in a backend language such as Python, Go, Rust, or Java, and ability to work across backend, frontend, infrastructure, or data pipelines.

Experience integrating third-party APIs and handling production failure modes, plus observability or debugging for complex pipelines.

Real-time or low-latency systems experience is useful. Voice, transcription, user-facing configuration tools, and model cost or latency optimization are also relevant.

Compensation & BenefitsBase salary is $130,000 to $220,000 annually, with 0.20% to 1.20% equity. Comprehensive health insurance and a 401(k) match are provided. Visa sponsorship is not available; candidates must be authorized to work in the United States. LocationOn-site in San Francisco, California.