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AI Infrastructure / Product Engineer

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AI Infrastructure / Product Engineer in USA

  • Remote

Responsibilities

  • Build repeatable benchmarks and evaluation pipelines for model accuracy, hallucinations, retrieval quality, latency, and cost.
  • Create dashboards that visualize system performance changes.
  • Develop production retrieval, drafting, document, and agent workflows from research prototypes.
  • Build backend services, APIs, and internal tools to test and release improvements.
  • Deploy and operate cloud infrastructure, including monitoring, databases, and delivery pipelines.
  • 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 experience deploying software to the cloud.
  • Experience building evaluation pipelines, benchmarks, or assessment systems for machine learning or AI systems.
  • Experience with APIs, databases, backend services, deployment pipelines, and systems that turn experimental code into maintainable products.
  • Experience building dashboards or monitoring systems to visualize performance and operating cloud deployments reliably.
  • Full-stack experience is a plus.
  • Familiarity with FastAPI, Docker, React, Next.js, Postgres, vector databases, LLMs, retrieval-augmented generation, agents, AI benchmarks, or document automation is helpful.

Benefits

  • Annual base salary of $180,000 to $260,000 USD.
  • 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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