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Salary
$180k – $260k per year
Location
In office (United States)
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 26, 2026. First seen by Alion on Oct 25, 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

Join a healthtech team building dependable AI products for legal work. You will work across AI research and product, creating the evaluations, services, and features that bring applied AI into production.

What You'll Do

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

  • Create dashboards that help the team track changes in system performance.

  • Turn research prototypes into production retrieval, drafting, document, and agent workflows.

  • Develop backend services, APIs, and internal tools to support testing and releases.

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

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

  • Experience with APIs, databases, backend services, deployment pipelines, monitoring, and reliable cloud operations.

  • Ability to turn experimental code and ambiguous ideas into usable, maintainable products, with experience designing dashboards or monitoring systems.

  • Interest or experience in LLMs, retrieval-augmented generation, agents, AI benchmarks, or document automation. Full-stack experience is a plus.

  • Helpful technologies include FastAPI, Docker, React, Next.js, Postgres, and vector databases.

Compensation & Benefits

Annual base salary: $180,000 to $260,000 USD. Visa sponsorship is not available.

Location

Remote, United States.

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