AI Platform Engineer: Cloud, Scale & Experimentation

Relativity; Chicago (IL); Hybrid; USD 103,000 - 155,000; Full time

Benefits offered by this job

Home office stipend

Equity program

Discretionary time off

Two annual company breaks

Job summary

Relativity is a leading legal data intelligence company building AI-powered cloud platforms to organize data and uncover insights. Engineers on the AI Platform's Experimentation Infrastructure team create tools and infrastructure to accelerate experimentation, partnering across AI and data pipelines.

We design scalable cloud services, ship data-rich features, and maintain high standards for reliability and security.

Qualifications

• 3+ years designing, building, and operating cloud-native distributed systems.
• Hands-on experience with APIs, event-driven architecture, and data platforms.
• Comfortable developing cloud-based, distributed services.
• Ability to write clean, maintainable, well-tested code using modern tooling and CI/CD.
• Security and reliability mindset with strong cross-functional collaboration.
• Curious mindset: asks what, why, and the right thing to do beyond Jira tickets.

Responsibilities

• Design, develop, and operate distributed, scalable cloud services handling petabytes of data weekly.
• Build performant, accessible user interfaces and extend backend services and data pipelines.
• Write clean, maintainable, and well-tested code with CI/CD.
• Collaborate with diverse teams to build AI-powered legal data solutions at scale.
• Contribute to design and code reviews and improve code quality.
• Support reliability efforts, including on-call rotations and incident response.
• Work with other Relativity teams to drive delivery.
• Stay updated on AI tools and techniques.

Skills

Cloud-native design

APIs

Event-driven

CI/CD

Security & Reliability

Cross-functional collaboration

Tools

Python

GitHub

Docker

Azure

Kubernetes

Databricks

MLflow

Job description

Relativity is a leading legal data intelligence company building AI-powered cloud platforms to organize data and uncover insights. Engineers on the AI Platform's Experimentation Infrastructure team create tools and infrastructure to accelerate experimentation, partnering across AI and data pipelines.

We design scalable cloud services, ship data-rich features, and maintain high standards for reliability and security.