About the role
EvenUp is on a mission to close the justice gap using technology and AI. We empower personal injury lawyers and victims to get the justice they deserve. Our products enable law firms to secure faster settlements, higher payouts, and better outcomes for victims injured through no fault of their own in vehicle collisions, accidents, natural disasters, and more. We are one of the fastest-growing vertical SaaS companies in history, and we are just getting started. EvenUp is backed by top VCs, including Bessemer Venture Partners, Bain Capital Ventures, SignalFire, and Lightspeed. We are looking to expand our team with talented, driven, and collaborative individuals who seek to have a lasting impact. Learn more at www.evenuplaw.com . 🎥 Life as an Engineer at EvenUp The Document Generation team at EvenUp builds AI-native products that help personal injury attorneys secure better outcomes for their clients. With over $1.5B in damages claimed to date, this team is behind core products like Demand Letters, which drive faster case resolution and higher settlements, and Medical Chronologies, a rapidly growing offering that provides deep insights into medical treatment and injury impact. In this role, you’ll work cross-functionally to design and scale systems that improve the speed, quality, and reliability of document generation. It’s a high-ownership environment focused on real user impact, where your work directly contributes to helping victims receive fair
compensation. What you’ll do: Enhance EvenUp’s AI-native document generation workflows and build systems to improve quality, reliability, and customer outcomes. Design and implement end-to-end AI-powered features, integrating LLMs with existing SaaS systems and shipping production-ready solutions. Build and maintain systems to evaluate performance, accuracy, and reliability of core deliverables. Establish best practices for architecture, coding, and delivery across services, APIs, and user-facing features. Collaborate cross-functionally with product, design, and leadership to deliver high-impact features and evolve core products. Contribute to the evolution of core products at the forefront of applied AI. What we look for: Strong software development experience, with hands-on expertise in Python or languages such as Go, Java, Node.js, or C++. Proven ability to design and ship scalable, production-grade systems, including APIs and distributed systems. Experience owning projects end-to-end in fast-paced, high-growth or startup environments.
