AI Infrastructure / Product Engineer

Aitomic Jobs; United States; Remote; USD 180,000 - 260,000; Full time

Benefits offered by this job

Remote within the United States

Job summary

clera is seeking an AI Infrastructure / Product Engineer to bridge AI research and production. You will build evaluation pipelines, develop backend services, and deploy cloud infrastructure to support reliable AI-enabled workflows in legal tech.

You will collaborate with AI research to translate prototypes into scalable features and maintain dashboards monitoring performance, cost, and latency, while staying aligned with product needs.

Qualifications

• 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 monitoring or performance dashboards.
• Ability to turn experimental code or ambiguous ideas into usable, maintainable products.
• Full-stack experience is a plus. Helpful technologies include FastAPI, Docker, React, Next.js, Postgres, and vector databases.
• Familiarity with LLMs, retrieval-augmented generation, agents, AI benchmarks, or document automation is valuable.

Responsibilities

• Join a healthtech team applying AI to legal workflows. You will bridge AI research and product development, building the evaluations, services, and features needed to bring applied AI into dependable production systems.
• Build repeatable benchmarks and evaluation pipelines for model accuracy, hallucinations, retrieval quality, latency, and cost.
• Create dashboards that make system performance changes visible to the team.
• 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.
• Work with AI research while staying connected to product and user needs.

Skills

Python

Cloud deployment

Evaluation pipelines

APIs

Databases

Backend services

Monitoring dashboards

Full-stack

LLMs knowledge

Tools

FastAPI

Docker

React

Next.js

Postgres

Vector databases

Job description

Short Summary

AI Infrastructure / Product Engineer at clera. About the Role Join a healthtech team applying AI to legal workflows. You will bridge AI research and product development, building the evaluations, services, and features needed to bring applied AI into dependable production systems. What You'll Do Build repeatable benchmarks and evaluation pipelines for model accuracy, hallucinations, retrieval quality, latency, and cost…

Key Details

• Position / opportunity: AI Infrastructure / Product Engineer
• Organization: clera
• Country / coverage: Remote
• Location: remote
• Work arrangement: Remote
• Opportunity type: Remote work opportunities
• Sector: Information Technology
• Compensation: Not specified
• Application deadline: Not specified by source

Description

About the Role

Join a healthtech team applying AI to legal workflows. You will bridge AI research and product development, building the evaluations, services, and features needed to bring applied AI into dependable production systems.

What You'll Do

Build repeatable benchmarks and evaluation pipelines for model accuracy, hallucinations, retrieval quality, latency, and cost.

Create dashboards that make system performance changes visible to the team.

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.

Work 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 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 monitoring or performance dashboards.

Ability to turn experimental code or ambiguous ideas into usable, maintainable products.

Full-stack experience is a plus. Helpful technologies include FastAPI, Docker, React, Next.js, Postgres, and vector databases.

Familiarity with LLMs, retrieval-augmented generation, agents, AI benchmarks, or document automation is valuable.

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.

Responsibilities

• Join a healthtech team applying AI to legal workflows. You will bridge AI research and product development, building the evaluations, services, and features needed to bring applied AI into dependable production systems.
• Build repeatable benchmarks and evaluation pipelines for model accuracy, hallucinations, retrieval quality, latency, and cost.
• Create dashboards that make system performance changes visible to the team.
• 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.
• Work with AI research while staying connected to product and user needs.

Requirements / Eligibility

• 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 monitoring or performance dashboards.
• Ability to turn experimental code or ambiguous ideas into usable, maintainable products.
• Full-stack experience is a plus. Helpful technologies include FastAPI, Docker, React, Next.js, Postgres, and vector databases.
• Familiarity with LLMs, retrieval-augmented generation, agents, AI benchmarks, or document automation is valuable.

Benefits / Compensation

• Annual base salary is $180,000 to $260,000 USD, depending on skills, experience, and role scope. Visa sponsorship is not available.
• Remote within the United States.