Why This Role Stands Out
This role offers a unique opportunity to shape the future of AI in hospitality, empowering you to build and own critical full-stack components of an innovative system. You'll thrive here if you're a seasoned engineer passionate about AI/ML, eager to tackle complex challenges and contribute to a groundbreaking product. Apply now to join a forward-thinking team and make a significant impact.
Quick Overview
Job Description
About the Role
Join 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 & Benefits
Base 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.
Location
On-site in San Francisco, California.
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