Software Engineer, Cloud Engineer - Software, AI Engineer

Posting Type

Hybrid/Remote

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, Relativity One, 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.

At Relativity, engineers don’t just write code. They build the systems that power AI-driven workflows at massive scale, enabling customers to uncover insights and act on complex data with confidence.

The aiR Services team builds the shared backend platform that powers Relativity’s generative AI products. These systems enable secure and scalable access to foundation models across the aiR Suite while handling challenges such as limited model capacity, global data privacy requirements, and fair usage across products and customers. The team works on high-throughput, distributed systems that route AI traffic across regions and providers, protect downstream services from reliability risks, and optimize cost and performance at scale.

If you’re excited about building platforms that power an entire product suite, working with generative AI systems in production, and solving distributed systems challenges at global scale, this is a high-impact team to join.

As a Software Engineer, you will build and operate backend services that power Relativity’s generative AI platform, aiR. You will work at the intersection of distributed systems, cloud infrastructure, and applied AI, helping to deliver reliable, scalable systems that sit on the critical path of AI-powered workflows.

This role reports to the Manager of Software Engineering and provides the opportunity to work on multi-region, multi-cloud systems that handle large-scale AI traffic and complex orchestration challenges.

• Design and build performant, scalable, and secure backend services with a strong focus on quality, not just meeting requirements
• Collaborate with a software development team to deliver high-quality, reliable systems that operate at massive scale
• Develop and maintain systems that support high-throughput AI workloads, including asynchronous job orchestration and distributed processing
• Write comprehensive unit and integration tests supported by static analysis and thoughtful test strategy development
• Contribute to improving engineering processes by recommending enhancements to tools, workflows, and practices
• Participate in pair programming to improve software quality and share design and implementation knowledge
• Contribute to building systems that route and manage AI traffic efficiently while maintaining reliability and fairness across workloads

• Bachelor’s degree in Computer Science or a related field, or equivalent practical experience
• Experience building backend services using languages such as C#, Python, or similar
• Understanding of software engineering disciplines and the ability to work across multiple layers of the application stack
• Strong foundational knowledge of distributed systems, scalability, and backend service design

• Understanding of Dev Ops principles and experience with tools such as Git Hub Actions
• Experience working with large language model (LLM) APIs or generative AI systems
• Experience designing and building scalable systems in Azure or other cloud platforms
• Experience with Kubernetes, serverless technologies, and cloud-native architectures
• Familiarity with domain-driven design and event-driven architecture
• Experience with AI-driven development practices or…