About the Role
Join a small engineering team building AI systems for hospitality workflows. You will own full-stack components that help resolve guest requests end to end, from understanding intent and retrieving relevant information to coordinating tools and generating responses.
What You’ll Do

• Design response-generation pipelines, including intent routing, orchestration, context assembly, tool selection, and escalation decisions.

• Build retrieval systems that ground responses in accurate, complete, and up-to-date customer information.

• Develop reliable multi-step tool workflows that handle third-party API failures gracefully.

• Create evaluation frameworks using real conversations to measure quality and catch regressions.

• Implement observability and tracing that make complex agent behavior understandable to support teams.

• Build interfaces and controls that let non-technical teams adjust agent behavior.

• Extend the platform to voice with 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 3 years of experience building and shipping production systems used by real people; 5 or more years is a plus.

• Hands-on experience designing and debugging production AI or machine learning systems, including retrieval pipelines, prompt engineering, or model orchestration.

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

• Proficiency in a backend language such as Python, Go, Rust, or Java, and the ability to work across the stack.

• Experience with multi-step workflows or function calling, third-party integrations, production failure handling, observability, and system evaluation.

• Product engineering ownership, ideally in a startup or as a product-focused founder, with a record of shipping production products.

• Experience with real-time or low-latency systems, voice or audio processing, user-facing configuration tools, or model cost and latency optimization is useful.

Compensation & Benefits
Base salary: $130,000 to $220,000 annually, plus 0.20% to 1.20% equity. Benefits include health insurance and a 401(k) match. Visa sponsorship is not available; candidates must be authorized to work in the United States.
Location
On-site in San Francisco, California.

About the Role
Join a small engineering team building AI systems for hospitality workflows. You will own full-stack components that help resolve guest requests end to end, from understanding intent and retrieving relevant information to coordinating tools and generating responses.
What You’ll Do

• Design response-generation pipelines, including intent routing, orchestration, context assembly, tool selection, and escalation decisions.

• Build retrieval systems that ground responses in accurate, complete, and up-to-date customer information.

• Develop reliable multi-step tool workflows that handle third-party API failures gracefully.

• Create evaluation frameworks using real conversations to measure quality and catch regressions.

• Implement observability and tracing that make complex agent behavior understandable to support teams.

• Build interfaces and controls that let non-technical teams adjust agent behavior.

• Extend the platform to voice with 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 3 years of experience building and shipping production systems used by real people; 5 or more years is a plus.

• Hands-on experience designing and debugging production AI or machine learning systems, including retrieval pipelines, prompt engineering, or model orchestration.

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

• Proficiency in a backend language such as Python, Go, Rust, or Java, and the ability to work across the stack.

• Experience with multi-step workflows or function calling, third-party integrations, production failure handling, observability, and system evaluation.

• Product engineering ownership, ideally in a startup or as a product-focused founder, with a record of shipping production products.

• Experience with real-time or low-latency systems, voice or audio processing, user-facing configuration tools, or model cost and latency optimization is useful.

Compensation & Benefits
Base salary: $130,000 to $220,000 annually, plus 0.20% to 1.20% equity. Benefits include health insurance and a 401(k) match. Visa sponsorship is not available; candidates must be authorized to work in the United States.
Location
On-site in San Francisco, California.