Clera
AI Infrastructure / Product Engineer
- Confirmed live in the last 24 hours
- $180k–$260k
- Mid level
- Full-time
- remote
- 3+ yrs exp
- Added today
About this role
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.
Written by Clera. Original job post
Skills mentioned
- Backend
- Docker
- Fastapi
- Machine Learning
- Next.Js
- PostgreSQL
- Python
- React
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Clera
Clera builds an agentic operating system that automates complex workflows and processes through AI agents, with a platform designed to simplify distributed infrastructure management for developers. The company is hiring Founding Engineers, Customer Engineers, and Product Engineers to develop both backend systems and user-facing interfaces across their AI automation products.
- Industry
- Technology & Software
Likely interview questions
- Describe your experience building and deploying production systems, highlighting the challenges you faced and how you overcame them?
- Can you walk me through your experience creating evaluation pipelines or benchmarks for machine learning or AI systems?