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 AI Platform team is responsible for building the foundational systems that make large language models accessible, reliable, and scalable across EvenUp’s engineering organization. Sitting at the intersection of backend engineering, ML systems, and platform enablement, this team empowers product and application teams to safely and efficiently leverage LLMs in production.
The team has already built and deployed industry-leading legal AI models that extract, structure, and summarize complex documents used by clients every day. Their work directly powers EvenUp’s ability to deliver faster, higher-quality outcomes for injury victims—bringing greater fairness, accessibility, and leverage to an otherwise opaque legal system. What makes this team unique is its deeply technical, multi-disciplinary collaboration between Data Scientists, ML Researchers, and Software Engineers, all working together to bring AI systems into production at scale.
The team is focused on building reliable, production-grade AI platforms—not one-off experiments—ensuring that LLM-powered systems are robust, scalable, and safe to operate. By creating shared infrastructure and tooling, the AI Platform team has a high-leverage impact across the entire engineering organization, enabling teams to move faster while maintaining high standards for quality and reliability. This is a hybrid role, with an expectation of being in our SF office three days per week. What you’ll do: Execution & Delivery: Build, ship, and iterate on backend systems that support production-grade LLM applications. Deliver high-quality, maintainable code using a modern tech stack (e.g., Python, Postgres, Kubernetes, Elasticsearch). Architecture & Quality: Lead the architecture and design of resilient, scalable distributed systems. Establish and uphold best practices around system design, performance, observability, and reliability. Cross-Functional Collaboration: Work closely with Product, ML, Data, and Infrastructure teams to scope, design, and deliver impactful solutions. Translate high-level product needs into clear technical plans and execution paths. Ownership & Growth: Own projects end-to-end—from early design through deployment and continuous iteration. Mentor engineers and act as a force multiplier across the organization. Evaluate and introduce new tools and technologies to continuously improve platform capabilities. What we look for: Strong experience building and scaling backend systems, platforms, or infrastructure. Proven ability to lead complex technical initiatives across teams or domains. Deep understanding of distributed systems, system design, and technical tradeoff analysis. High standards for code quality, architecture, and long-term maintainability. Proficiency in Python, with experience in additional languages such as NodeJS, Go, Java, or C++. Clear, structured communication and the ability to influence cross-functional stakeholders. Comfort operating in fast-paced, high-growth, and ambiguous environments. A strong sense of ownership, accountability, and technical leadership.
