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Salary
$150k – $250k per year
Location
In office (San Francisco)
Seniority
Senior · 3+ years exp
Visa
Sponsorship offered in the posting
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 18, 2026. First seen by Alion on Oct 16, 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

Own the agent infrastructure that helps AI systems execute tasks reliably, retain useful context over time, and involve people when needed. You will work across agent orchestration, memory, evaluation, and production reliability, shipping systems for real users and improving them through production feedback.

What You'll Do

  • Build and maintain infrastructure that lets agents execute tasks reliably across many iterations.

  • Design memory and retrieval systems that preserve client context from messy operational data.

  • Develop evaluation harnesses that teams can use to make production deployment decisions.

  • Measure, test, troubleshoot, and improve agent systems, including failure recovery and reliability.

  • Collaborate with customers and contribute to infrastructure, orchestration, and team growth as needed.

What We're Looking For

  • At least 3 years building and shipping LLM agents that ran unattended in production for real users.

  • Experience building evaluation harnesses used to guide production releases.

  • Strong Python skills for production systems, plus hands-on experience with agent orchestration, infrastructure, or workflow management.

  • Experience implementing memory and context retrieval for operational data, beyond demo datasets.

  • Experience with agent tooling, frameworks, or libraries, and production patterns for retries, failure recovery, and reliability.

  • A track record of taking a technical project from conception to production; open-source agent tooling or LLM infrastructure experience is a plus.

Compensation & Benefits

Base salary is $150,000 to $250,000 USD annually, plus meaningful early equity. Visa sponsorship is available.

Location

On-site in San Francisco, United States.

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