Jobs › Relativity

Advanced Software Engineer - AI Platform

Relativity · IL · Full time

Posted Oct 2, 2026 · We last checked this listing on Oct 6, 2026

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Likely interview questions for this role

Written from this job description, not a generic list. Each one notes what the interviewer is really checking.

About your past

Tell me about a platform you built that other engineering teams relied on.

What they are checking: Whether they understand building for internal customers, which is the heart of a platform role.

How do you use AI tools in your own engineering work?

What they are checking: Whether they use AI assistance thoughtfully, as Relativity expects of its engineers.

Tell me about a time you had to support a platform during a major outage.

What they are checking: Whether they stay steady during incidents and improve the system afterward.

What would you do

A product team says the AI platform is slowing them down. How do you respond?

What they are checking: Whether they listen to internal customers and improve the platform instead of defending it.

How would you decide which features belong in the platform and which belong in product teams?

What they are checking: Whether they keep the platform focused on shared needs rather than absorbing every request.

About the work

How would you design shared AI infrastructure so many product teams can call models safely and consistently?

What they are checking: Whether they think about gateways, rate limits, logging and access controls for shared AI use.

How would you handle cost tracking and limits when many teams share AI model usage?

What they are checking: Whether they plan for cost visibility and fairness across teams using expensive models.

How do you make sure customer data sent to AI models stays isolated and is handled correctly?

What they are checking: Whether they build data protection into the platform so product teams cannot get it wrong.

How do you version and roll out changes to a platform many teams depend on?

What they are checking: Whether they avoid breaking downstream teams through careful versioning and migration plans.

How would you build observability into AI platform services?

What they are checking: Whether they can trace requests, latency and failures across model calls for debugging.

Practice this interview out loud.

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The full job description

As published by Relativity.

Posting Type Hybrid/Remote Job Overview Who We Are Relativity is a leading legal data intelligence company building technology that helps users organize data, discover the truth, and act on it with confidence. Our AI‑powered, cloud platform, RelativityOne, transforms massive volumes of complex information into actionable insights for litigation, investigations, regulatory inquiries, data breach responses, and other high‑stakes legal work where accuracy and trust are crucial. The world’s largest law firms, corporations and government agencies rely on Relativity’s legal AI software to securely surface and manage the most relevant and impactful information in their matters. Beyond our commercial impact, we’re deeply committed to expanding access to technology for academic institutions through Relativity Academic and supporting pro bono legal work through Justice for Change. Job Description and Requirements What We Do At Relativity, engineers don’t just write code— they harness AI tools to architect, optimize, and deliver scalable software faster and shape the future of legal technology. They shape how industries uncover critical insights, ensure compliance, advance access to justice and continuously evolve our platform using the latest technologies, including cloud-native architectures, AI capabilities, and modern developer tooling. Our AI powers privacy programs, identifies confidential information, and detects language indicating misconduct. We’re reimagining how legal professionals uncover truth at scale, and engineering is at the heart of that transformation. This position will be part of the AI Platform’s Experimentation Infrastructure team. In brief, our mandate is to create and support tools and infrastructure that accelerate experimentation at Relativity. Tech stack: Claude or Cursor, Python, GitHub, GitHub Actions, Docker, Azure, Kubernetes, Databricks, MLflow, OpenTelemetry, PagerDuty If you’re passionate about solving hard problems, designing for scale, and building tools that matter—while working in a culture that values transparency, innovation, and shared success— Relativity offers the opportunity to make a measurable difference in the marketplace. What You’ll Do • Contribute to the design, development, and operation of distributed, scalable, secure full-stack cloud services that process petabytes of data weekly. • Build performant, accessible user interfaces and extend backend services and data pipelines. • Consistently implement clean, testable, maintainable code to deliver customer impact. • Collaborate with a diverse group of teammates and product partners to solve problems, achieve team goals, and build AI-powered legal data solutions at massive scale. • Actively contribute to design and code reviews, providing constructive feedback to improve quality and maintainability. • Contribute to service ownership by supporting reliability efforts, including on-call rotations and incident response. • Work continually with other Relativity teams to drive delivery. • Stay abreast of the constantly changing world of AI tools and techniques. What We’re Looking For Required • 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‑focused mindset with strong cross‑functional collaboration across engineering, product, and design. • Someone who asks, “What are we really doing? What makes that the right thing to do?” instead of just completing Jira tickets. Preferred • Familiarity with performance or cost optimization. • Familiarity with AI-development tools like Cursor or Claude Code. Why We Could Be A Great Fit • Impactful Mission: Organize Data, Discover the Truth and Act on It - Our customers include Fortune 500 enterprises and leading law firms managing high-stakes matters on our platform. • Growth Path: Engineers gain exposure across the stack, from distributed systems to AI-enabled workflows, accelerating career growth. • Engineering Culture: Continuous delivery, strong observability, and end-to-end ownership. • Inclusive Environment: Diverse backgrounds and perspectives make us stronger. • Community Impact: Volunteer opportunities and company-sponsored charitable programs. • Compensation & Benefits: Competitive salary, health and retirement programs, wellness resources, discretionary time off (DTO), parental leave for primary and secondary caregivers, two annual company breaks, home office stipend, and an equity program. Relativity is committed to competitive, fair, and equitable compensation practices. This position is eligible for total compensation which includes a competitive base salary, an annual performance bonus, and long-term incentives. The expected salary range for this role is between following values: $103,000 and $155,000 The final offered salary will be based on several factors, including but not limited to the candidate's depth of experience, skill set, qualifications, and internal pay equity. Hiring at the top end of the range would not be typical, to allow for future meaningful salary growth in this position. Required Skills: Engineering Principle, Hardware Integration, Innovation, Problem Solving, Process Improvements, Quality Assurance (QA), Research and Development, System Designs, Technical Documents, Troubleshooting

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