Member of Technical Staff
Clera · San Francisco · onsite
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.