Member of Technical Staff

About the Role

Join 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 Do

• Build 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 For

• At 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 & Benefits

Base 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.

Location

On-site in San Francisco, California.