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Clera

Senior Software Engineer

San Francisco · On-site · FullTime · Engineering

$130K – $220K

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About the role

ObservabilityPythonJavaGoRustMachine LearningPrompt Engineering
ABOUT THE ROLE Join an engineering team building AI software for hospitality operations. You will own full-stack components of an AI system that handles guest requests, from understanding intent and retrieving relevant information to coordinating tools and generating responses. WHAT YOU'LL DO - Design and build systems that classify guest requests, assemble context, select tools, and decide when to respond or escalate. - Develop retrieval pipelines that ground responses in accurate and current customer information. - Build reliable orchestration for multi-step workflows, including handling third-party API failures during conversations. - Create evaluation frameworks to assess response quality and catch regressions before release. - Implement observability and tracing that help support teams understand system behavior. - Build controls that let non-technical teams adjust agent behavior without writing code. - Extend agent capabilities to voice conversations with real-time transcription and tool use. - Improve performance and cost through model routing, caching, and prompt refinement. - Contribute 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. - Experience designing and debugging production AI or ML systems, including retrieval pipelines, prompt engineering, or model orchestration. - Proficiency across multiple areas of the stack, such as backend, frontend, infrastructure, or data pipelines. - Experience building and evaluating retrieval systems, multi-step workflows, and production observability or evaluation tools. - Proficiency in a backend language such as Python, Go, Rust, Java, or a similar language, plus experience integrating third-party APIs. - Strong judgment in selecting AI models and measuring system quality, reliability, latency, and cost. COMPENSATION & BENEFITS Base salary: $130,000 to $220,000 annually, plus 0.20% to 1.20% equity, health insurance, and a 401(k) match. Visa sponsorship is not available. LOCATION On-site in San Francisco, California.