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Salary
$130k – $220k per year
Location
In office (San Francisco)
Seniority
Senior · 5+ years exp
Visa
No sponsorship (stated in the posting)
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 5, 2026. First seen by Alion on Oct 4, 2026. Clera scores B on the Alion truth index.

Overview
Company
Impact
Profile match
Clera is a San Francisco company that runs an AI recruiting platform positioned as a talent agent rather than a job board, matching engineers and other technical candidates to roles at venture-backed startups. Its system reads a candidate's background and preferences, then represents them to hiring teams at companies funded by firms such as Andreessen Horowitz, Y Combinator, Index Ventures and General Catalyst, compressing the introduction step that traditional headhunting handles manually. The model is aimed at the segment where recruiter fees are highest and candidate supply is thinnest, and the platform handles screening, scheduling and pipeline tracking for both sides of the match.

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.

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