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 Join EvenUp’s AI Platform team, dedicated to making large language models (LLMs) more accessible, scalable, and impactful across the engineering organization. We build leading LLM-powered systems for the legal industry, transforming how complex legal documents are extracted, summarized, and structured for use by our clients every day. This role operates at the intersection of backend engineering, LLM integration, and hands-on experimentation. You will collaborate with a multidisciplinary team of Data Scientists, Researchers, and Software Engineers to tackle challenging generative AI problems. Together, we maintain the foundational infrastructure enabling EvenUp’s product teams to leverage LLMs safely and efficiently at scale. This is an excellent opportunity for engineers seeking deep technical ownership, backend system design, and work on innovative platforms that create impact across an entire company—while contributing to technology that advances fairness and accessibility within the legal system. This is a hybrid role, 3x per week at our SF office three days per week. What you’ll do: Backend Systems & Infrastructure: Lead the design, development, and optimization of robust backend systems for deploying LLM-based algorithms and services. End-to-End Ownership: Manage projects through their complete lifecycle—from architecture to deployment, monitoring, and improvement. Cross-Team Enablement: Work with other engineering teams to understand use cases and deliver scalable platform solutions. Engineering Excellence: Develop high-quality, maintainable code using a modern tech stack (Python, Postgres, Kubernetes, Elasticsearch). Growth & Collaboration: Grow as an engineer working alongside world-class peers on impactful, cutting-edge generative AI projects. What we look for: Extensive experience building frameworks, libraries, and distributed systems with a focus on reliability, observability, and performance. Proficiency delivering production-ready code, managing infrastructure, and building RESTful APIs to industry standards. Experience owning and delivering complex technical projects. Success in startup or high-growth environments valuing speed, collaboration, and ownership. Proficiency in Python or other languages (Go, Java, C++). Strong written and verbal communication skills, with proven cross-disciplinary collaboration.
