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AI Infrastructure / Product Engineer

🏢 Clera · 📍 remote · 💼 remote · ⏰ FullTime
⚡ Direct Talent Broker Referral
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Position Summary & Responsibilities

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.

🎯 Candidate Preparation Guide For Clera Applicants

Key Role Competencies & Evaluation Highlights

Key Role Focus:

Evaluators strictly assess your ability to translate complex health-tech data into intuitive consumer experiences while demonstrating hyper-pragmatic execution speed.

📋 Preparation Priorities (Key Areas to Clarify):
  • 1. Dismissing regulatory compliance or data privacy as mere bureaucracy.
  • 2. Focusing overly on flashy tech stack choices rather than patient outcomes.
  • 3. Lacking experience scaling B2C or B2B2C products in a regulated industry.
✨ Recommended Role Alignment Hook:

I build frictionless healthcare experiences that clinicians actually want to use and patients can navigate effortlessly.

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