Senior Member of Technical Staff

Department: Engineering

Location: San Francisco

Employment Type: FullTime

About the Role

Join a small engineering team building AI systems for hospitality operations. You will own full-stack components that help AI agents understand guest requests, find reliable information, use tools, and resolve issues or escalate them when needed.

What You'll Do

• Build response-generation pipelines for intent classification, context assembly, tool selection, and escalation decisions.

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

• Create reliable multi-step tool workflows and handle third-party API failures.

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

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

• Develop interfaces that let non-technical users adjust agent behavior.

• Extend agent 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 production systems used by real people.

• Substantive startup or founder experience shipping real products.

• Experience designing and debugging production AI systems, especially retrieval pipelines, prompt engineering, and model orchestration.

• Strong retrieval experience, such as knowledge bases, ranking, context validation, or semantic search, plus methods for evaluating production systems.

• Experience with multi-step workflows, tool orchestration or function calling, and observability or debugging for complex pipelines.

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

• Experience integrating third-party APIs and managing production failure modes; experience with real-time systems, voice, user-facing controls, or model cost and latency optimization is valuable.

Compensation & Benefits

Base salary is $130,000 to $220,000 annually, with equity of 0.20% to 1.20%. Benefits include health insurance and a 401(k) match. Visa sponsorship is not available.

Location

On-site in San Francisco, California.