AI Infrastructure / Product Engineer
At a glance
Mid-level ML Platform & Ops role at Clera. Remote · full-time · $180,000–$260,000 base.
remoteroles summary, based on the employer's posting.
What you'll do
- Build repeatable tests and evaluation pipelines that track model accuracy, hallucinations, retrieval quality, speed, and cost
- Create dashboards to show the team how system performance changes
- Turn research prototypes into production retrieval, drafting, document, and agent workflows
- Build backend services, APIs, and internal tools for testing and releasing improvements
- Deploy and run cloud infrastructure, including monitoring, databases, delivery pipelines, and reliable operations
What you bring
- At least three years building and deploying production systems as a software, infrastructure, or product engineer
- Strong Python skills and practical experience deploying systems to the cloud
- Experience with APIs, databases, backend services, deployment pipelines, and production monitoring
- You have built evaluation pipelines, benchmarks, or assessment systems for AI or machine learning
Who this fits
This suits a mid-level engineer who can turn unclear ideas and experimental code into maintainable products, while working with AI research and staying attentive to product and user needs. The role is remote within the United States, and visa sponsorship is unavailable.
From the employer
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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