Posting Type
Hybrid/Remote
Job Overview
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, turns 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 are committed to expanding access to technology for academic institutions through Relativity Academic and to supporting pro bono legal work through Justice for Change.
AI at Relativity
Over the past two years, billions of documents have benefited from Relativity AI, and we are just beginning. We apply AI to improve every user experience, product, matter, and investigation, so users can find the truth faster and act on data with confidence. Our team values curiosity, experimentation, and continuous learning: we test boldly, learn quickly, and improve every day.
Job Description and Requirements
As an Advanced Software Engineer at Relativity, you will independently take features from design to production in our cloud-based SaaS platform, using AI both as a tool and as a product capability. You will write production C# and SQL, and you will build the services, instrumentation, evaluation harnesses, and data pipelines that turn an Applied Science approach into something customers can rely on, and diagnose what goes wrong when they can't.
Our team is the driving force behind Case Strategy, a comprehensive suite of applications designed to empower case teams in constructing winning cases. By seamlessly integrating with Relativity, Case Strategy allows users to quickly and easily define, validate, and present their case strategies. Our team owns the flagship AI product that significantly reduces the time and effort needed to analyze, organize, and understand case information, enhancing attorney productivity and case management. We are proud to be one of the few teams at Relativity leveraging AI to innovate our products, making us a leader in the legal tech space.
You will build and operate the AI systems behind Relativity aiR at production scale, under real legal stakes. You will work side by side with Applied Scientists, who own the science, and with Product, who owns the value case, so that what we ship meets the reliability target it was promised at. Along the way you will work with multiple databases, processing and web servers, search engines, and clustering technologies, using many of the newer and stronger technologies available.
Responsibilities
Core software engineering
Product Development. Build our primary product offering, Relativity, using object-oriented analysis, design, and programming with SOLID principles and design patterns in multiple languages.
Agile Delivery. Participate in our SCRUM process and deliver through CI/CD with strong observability.
Performance. Improve application and system performance at scale.
Quality and Support. Troubleshoot issues by fixing defects and responding to client-specific problems.
AI engineering
Prototype to Production. Independently take a prototype or notebook from Applied Science to a deployed, monitored production service, delivered through CI/CD.
Instrument. Instrument models and prompts for quality, latency, and cost, and build dashboards and alerts against the reliability target.
Diagnose. Diagnose and mitigate common failure modes, including drift, latency regressions, cost blow-ups, tool-call and retrieval errors, and data-quality effects on outputs.
Evaluation Harness. Build and maintain the evaluation harness and regression checks that gate releases, and extend coverage as use cases…