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Salary
$180k – $260k per year
Location
In office
Seniority
Middle · 3+ years exp
Visa
No sponsorship (stated in the posting)
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 22, 2026. First seen by Alion on Oct 18, 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.
Backed by TU

About the Role

As an AI Infrastructure / Product Engineer, you will work at the intersection of AI research and product development at a healthtech company building AI products. You will help turn experiments into dependable systems and features, and build ways to measure and improve their quality.

What You'll Do

  • Build repeatable benchmarks and evaluation pipelines to measure model accuracy, hallucinations, retrieval quality, latency, and cost.

  • Create dashboards that make changes in system performance visible to the team.

  • Develop production retrieval, drafting, document, and agent workflows from research prototypes.

  • Build backend services, APIs, and internal tools to help test and release improvements.

  • Deploy and operate cloud infrastructure, including monitoring, databases, delivery pipelines, and reliable operations.

  • Collaborate with AI research while staying connected to product and user needs.

What We're Looking For

  • At least 3 years of experience as a software, infrastructure, or product engineer building and deploying production systems.

  • Strong Python skills and hands-on cloud deployment experience.

  • Experience with APIs, databases, backend services, deployment pipelines, and production monitoring.

  • Experience building evaluation pipelines, benchmarks, or assessment systems for machine learning or AI systems.

  • Ability to turn ambiguous ideas and experimental code into usable, maintainable products.

  • Interest or experience in LLMs, retrieval-augmented generation, agents, AI benchmarks, or document automation.

  • Full-stack experience is helpful. Familiarity with FastAPI, Docker, React, Next.js, Postgres, or vector databases is a plus.

Compensation & Benefits

Annual base salary is $180,000 to $260,000 USD, depending on skills, experience, and role scope. Visa sponsorship is not available.

Location

Remote within the United States.

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