AI Infrastructure / Product Engineer

Royper Royco LLC; Northern (KY); Híbrido; USD 180 000 - 260 000; Tempo integral

Resumo da oferta

Royper Royco LLC is seeking an AI Infrastructure / Product Engineer to bridge AI research and production tooling. You will build evaluation pipelines, dashboards, and backend services that translate experiments into dependable legal tech tools.

You will deploy and operate cloud infrastructure, collaborate with research, and help scale AI features from prototypes to production-ready products.

Qualificações

• 3+ years of experience building production systems.
• Strong Python skills and hands-on experience deploying to the cloud.
• Experience building evaluation pipelines or benchmarks for ML/AI systems.
• Experience with APIs, databases, backend services, and deployment pipelines.
• Experience building dashboards or monitoring systems to visualize performance.
• Familiarity with listed tools (FastAPI, Docker, React, Next.js, Postgres, vector databases).

Responsabilidades

• Build repeatable benchmarks and evaluation pipelines for model accuracy, latency, and cost.
• Create dashboards to visualize system performance for the team.
• Develop production retrieval, drafting, and document workflows from research prototypes.
• Build backend services, APIs, and internal tools for testing and releasing improvements.
• Deploy and operate cloud infrastructure, including monitoring and delivery pipelines.
• Collaborate with AI research while aligning with product and user needs.

Conhecimentos

Python

Cloud deployment

Evaluation pipelines

APIs

Databases

Dashboards

Ferramentas

FastAPI

Docker

React

Next.js

Postgres

Vector databases

LLMs

Retrieval-augmented generation

Descrição da oferta de emprego

About the Role

As an AI Infrastructure / Product Engineer, you will work at the intersection of AI research and product, helping turn experiments into dependable tools for legal work. You will build evaluation systems, backend services, and product features that help measure and improve applied AI in production.

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.
• 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 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 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.

Compensation & Benefits

Annual base salary is $180,000 to $260,000 USD, depending on relevant skills, experience, and role scope. Visa sponsorship is not available.

Location

Remote within the United States.