Member of Technical Staff

Clera

  • San Francisco, California
  • 3 days ago

    Highlights

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

    Numbers & Facts

    LocationSan Francisco, California
    Websitehttps://www.getclera.com/

    Description

    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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