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
• 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