This role has closed. Clera has taken the posting down.
hirly last saw it live on 1 October 2026. See similar open roles below, or browse the live board.
Clera
AI Infrastructure / Product Engineer
United States
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hirly's read of this role
- Seniority
- Mid level
- Stated salary
- $180,000 – $260,000 per year
- Country
- US
- Work mode
- On-site / unstated
- First seen by hirly
- 28 Sept 2026
Derived automatically from the posting.
the posting
About the Role
This is a hands-on engineering role at the intersection of AI research and product, focused on turning promising AI experiments into dependable, production-grade tools for legal work. You will own the evaluation systems, backend services, and features that bring applied AI from prototype to reality, with direct influence over how quality is measured and improved across the team.
What You'll Do
Build repeatable benchmarks and evaluation pipelines that measure model accuracy, hallucinations, retrieval quality, latency, and cost.
Create dashboards that make changes in system performance visible to the broader team.
Develop production features that transform research prototypes into usable retrieval, drafting, document, and agent workflows.
Build backend services, APIs, and internal tools that help the team test and release improvements quickly.
Deploy and operate cloud infrastructure including monitoring, databases, delivery pipelines, and reliable operations.
Work closely with AI research while staying connected to product and user needs.
What We're Looking For
3 or more years of experience as a software, infrastructure, or product engineer building and deploying production systems.
Strong Python skills and hands-on experience deploying software to the cloud.
Experience building evaluation pipelines, benchmarks, or assessment systems for machine learning or AI systems.
Solid background working with APIs, databases, backend services, and deployment pipelines.
A track record of converting research prototypes or experimental code into usable, maintainable products.
Experience designing dashboards or monitoring systems that surface system performance changes.
Interest in LLMs, retrieval-augmented generation, agents, and AI evaluation.
Full-stack experience spanning both frontend and backend is a plus.
Familiarity with FastAPI, Docker, React or Next.js, Postgres, vector databases, AI benchmarks, or document automation workflows is helpful.
Compensation & Benefits
Base salary: $180,000 to $260,000 USD annually , depending on relevant skills, experience, and role scope. Visa sponsorship is not available for this role.
Location
Fully remote, open to candidates based in the United States only.