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AI Infrastructure / Product Engineer

CleraUnited States🇺🇸United StatesPosted Oct 25, 2026

Why this role stands out

Accelerate your career at the intersection of AI research and product development by building high-impact, dependable healthtech solutions that bridge the gap between experimental prototypes and production scale. This role is perfect for a skilled engineer who thrives on designing robust infrastructure and evaluation pipelines in a collaborative, innovation-driven environment. Take the next step in your professional journey and apply today to shape the future of applied AI.

Quick overview

SeniorityMid Senior
Employment typeFull Time
Work modeOn Site
LocationUnited States, United States
Posted17 hours ago
DockerFastAPINext.jsPythonReactMachine LearningRAG

Job description

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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ApplyOr apply on Clera's site