Teams at Relativity

Build and operate distributed, secure, cloud-native services that process petabytes of data. Develop storage abstraction layers, APIs, data pipelines, user interfaces, and platform services using C# and Azure. Contribute to system design, code reviews, CI/CD, reliability, incident response, and on-call rotations while exploring AI-powered development and agentic AI capabilities.

Build and operate secure, scalable cloud-native services, user interfaces, backend services, and data pipelines for Relativity’s AI Platform. Responsibilities include writing maintainable tested code, participating in design and code reviews, supporting reliability and incident response, collaborating across engineering and product teams, and improving experimentation infrastructure for petabyte-scale legal data workloads.

Own the vision, strategy, and roadmap for an AI evaluations platform supporting offline and online evaluation, production monitoring, agentic testing, SME workflows, and quality dashboards. Partner with applied scientists, engineers, product teams, legal experts, and executives to define evaluation standards, calibrate LLM judges, assess build-versus-buy decisions, and help teams measure and improve AI performance.