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Open nowPosted 3 hours agoWe saw it 47 min after it went up

Senior Software Engineer

Clera292 open roles

Where
San Francisco
Work mode
On site
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Your applicationOpen nowSenior Software EngineerClera · San Francisco

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The clock on this job

Early applications get read.

8.3% of postings close within 7 days. Measured by our own scanner across the market. Clera postings stay open a median of 5 days.

Share of postings closed within
  1. 1.9%1 day
  2. 3.9%3 days
  3. 8.3%7 days
  4. 15.3%14 days
  5. 34.1%30 days
This job: posted 3 hours ago

Clera median: 5 days open

The posting

ABOUT THE ROLE

Join an engineering team building AI software for hospitality operations. You will own full-stack components of systems that understand guest requests, retrieve relevant information, and carry out workflows, helping make automated support reliable and useful.

WHAT YOU'LL DO

- Build response generation pipelines that classify requests, assemble context, choose tools, and determine when to respond or escalate.

- Develop retrieval systems that ground responses in accurate, current information from real-world customer data.

- Create orchestration layers for multi-step workflows, including robust handling of third-party API failures.

- Build evaluation frameworks using real conversations to measure quality and catch regressions before release.

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

- Develop controls and interfaces that let non-technical teams adjust agent behavior.

- Extend capabilities to voice conversations, including real-time transcription and tool use.

- Improve speed and cost through model selection, caching, and prompt optimization, 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 that real users depend on.

- Production experience with AI or machine learning systems, including retrieval pipelines, prompt engineering, or model orchestration.

- Experience building and evaluating retrieval systems, such as knowledge bases, ranking, context validation, or semantic search.

- Background designing multi-step workflows, tool orchestration, or function-calling systems, and integrating third-party APIs with production failure handling.

- Proficiency in a backend language such as Python, Go, Rust, or Java, with experience across multiple areas of the stack.

- Experience with evaluation methods and observability or debugging for complex systems; real-time applications, voice systems, user-facing controls, or cost and latency optimization are also relevant.

COMPENSATION & BENEFITS

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

LOCATION

On-site in San Francisco, California, United States.

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