Member of Technical Staff

Clera

San Francisco Full-time $130K – $220K/yr yesterday
Workplace
On-site
Location
San Francisco
Who can apply
Based in the United States: you usually need the right to work there

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About the role

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.

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