Senior Backend Engineer, EvenUp

• 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

Desirable

• 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
• You'll design, build, and enhance scalable backend systems supporting LLM-driven products and internal platforms
• Own infrastructure and services for reliable deployment, experimentation, and iteration of AI-powered systems
• Collaborate with engineering teams to gather requirements and deliver reusable, scalable solutions
• Influence the technical direction and long-term architecture of EvenUp’s AI platform
• Maintain high standards for reliability, performance, observability, and maintainability
• Drive projects from early design through deployment, monitoring, and iterative improvement
• 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