AI Infrastructure / Product Engineer

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AI Infrastructure / Product Engineer in USA new

Clera
Full time
Email

USA
10/19/2026
Report

Remote

Responsibilities

Build repeatable benchmarks and evaluation pipelines for AI model accuracy, hallucinations, retrieval quality, latency, and cost.
Create dashboards that expose changes in system performance.
Develop production retrieval, drafting, document, and agent workflows from research prototypes.
Build backend services, APIs, and internal tools for testing and releasing improvements.
Deploy and operate cloud infrastructure, including monitoring, databases, delivery pipelines, and reliable operations.
Collaborate with AI research while remaining connected to product and user needs.

Requirements

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.

Benefits

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

Salary: $180k - $260k/yr

Clera

Clera harnesses the power of artificial intelligence to match high-growth startups with exceptional talent, streamlining the entire headhunting process. This innovative approach simplifies the job search for candidates while providing startups with access to a curated pool of skilled professional...

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