AI Infrastructure / Product Engineer, Mid-Level

United StatesRemoteFull-timemid

OtherInfrastructure

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Quick Summary

Overview

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a AI Infrastructure / Product Engineer,

Technical Tools

OtherInfrastructure

Join a distributed engineering team working at the intersection of AI research and product development.
You’ll transform experimental AI capabilities into reliable, production-ready products for legal workflows.
The role combines AI evaluation, backend engineering, cloud infrastructure, and product development.
You’ll build systems that measure accuracy, hallucinations, retrieval quality, latency, and cost.
You’ll also turn research prototypes into practical retrieval, drafting, document, and agent workflows.
Working closely with researchers and product stakeholders, you’ll help move applied AI from experimentation into production.
This is an opportunity to have meaningful technical impact in a fast-moving, AI-focused environment.

Build repeatable benchmarks and evaluation pipelines that measure AI system performance across accuracy, hallucinations, retrieval quality, latency, and cost.
Develop dashboards and monitoring systems that make changes in system performance visible and actionable for engineering and research teams.
Transform experimental AI and research prototypes into maintainable product capabilities, including retrieval, drafting, document-processing, and agent-based workflows.
Design and maintain backend services, APIs, internal tools, and deployment systems that support testing, iteration, and reliable product releases.
Deploy and operate cloud infrastructure, including databases, monitoring, delivery pipelines, and other systems required for dependable production operations.
Collaborate closely with AI research teams to translate experiments and emerging capabilities into robust technical solutions while remaining aligned with product and user needs.
Contribute across the engineering stack as needed, helping bridge infrastructure, backend, AI systems, and product development.

Requirements

~1 min read

3+ years of professional experience as a software, infrastructure, or product engineer building and deploying production systems.
Strong Python development skills combined with hands-on experience deploying and operating applications in cloud environments.
Demonstrated experience creating evaluation pipelines, benchmarks, or assessment frameworks for machine learning or AI systems.
Practical experience with APIs, databases, backend services, deployment pipelines, dashboards, and monitoring systems.
Ability to take experimental code, ambiguous requirements, or early-stage ideas and turn them into maintainable, production-quality products.
Interest or hands-on experience with LLMs, retrieval-augmented generation, AI agents, AI benchmarking, or document automation.
Full-stack development experience is a plus, with familiarity with technologies such as FastAPI, Docker, React, Next.js, Postgres, or vector databases considered beneficial.
Strong collaboration, problem-solving, and communication skills, with the ability to work effectively across research, engineering, and product functions.