The ad says“Proficiency in Python or other languages (Go, Java, C++)”
The ad says“Engineering Excellence: Develop high-quality, maintainable code using a modern tech stack (Python, Postgres, Kubernetes, Elasticsearch)”
The ad says“Proficiency in Python or other languages (Go, Java, C++)”
The ad says“Proficiency in Python or other languages (Go, Java, C++)”
The ad says“Engineering Excellence: Develop high-quality, maintainable code using a modern tech stack (Python, Postgres, Kubernetes, Elasticsearch)”
The ad says“Background with AI systems, LLMs, or machine learning infrastructure”
The ad says“Background with AI systems, LLMs, or machine learning infrastructure”
The ad says“Engineering Excellence: Develop high-quality, maintainable code using a modern tech stack (Python, Postgres, Kubernetes, Elasticsearch)”
The ad says“Engineering Excellence: Develop high-quality, maintainable code using a modern tech stack (Python, Postgres, Kubernetes, Elasticsearch)”
The ad says“Proficiency delivering production-ready code, managing infrastructure, and building RESTful APIs to industry standards”
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
Benefits
Flexible working hours to match your style
Offsites - get to meet your coworkers on a fully-expenses trip ever 6-12 months
A variety of virtual team events such as game nights & happy hours
Choice of medical, dental, and vision insurance plans for you and your family
Flexible paid time off and 10+ holidays per year
A stipend to upgrade your home office for fully-remote roles
401k for US-based employees
Preferred experience
Experience owning and delivering complex technical projects
Strong written and verbal communication skills, with proven cross-disciplinary collaboration
Success in startup or high-growth environments valuing speed, collaboration, and ownership
Proficiency in Python or other languages (Go, Java, C++)
Proficiency delivering production-ready code, managing infrastructure, and building RESTful APIs to industry standards
Extensive experience building frameworks, libraries, and distributed systems with a focus on reliability, observability, and performance
Background with AI systems, LLMs, or machine learning infrastructure
Experience in legal tech or social impact–driven products
Prior work supporting internal platforms or developer-facing tools
