EvenUp
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
Location & Work Model
This is a hybrid role, 3x per week at our SF office three days per week. About the Team
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. Responsibilities
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
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
Bonus (Nice to Have)
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
#LI-Hybrid Notice to Candidates: EvenUp has been made aware of fraudulent job postings and unaffiliated third parties posing as our recruiting team – please know that we have no affiliation or connection to these situations. We only post open roles on our career page evenuplaw.com/careers or reputable job boards like our official LinkedIn or Indeed pages, and all official EvenUp recruitment emails will come from the domains @evenuplaw.com, @evenup.ai, @ext-evenuplaw.com, no-reply@ashbyhq.com or no‑reply@canditech.io email addresses. To ensure fairness and proper consideration, we do not accept resumes or expressions of interest via email or social media messages. If you’re interested in a role, please submit your application directly through our careers page. Please note the above benefits & perks are for full-time employees EvenUp is an equal opportunity employer. We are committed to diversity and inclusion in our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Choice of medical, dental, and vision insurance plans for you and your family
Additional insurance coverage options for life, accident, or critical illness
Flexible paid time off, sick leave, short-term and long-term disability
10 US observed holidays, and Canadian statutory holidays by province
A home office stipend
401(k) for US-based employees and RRSP for Canada-based employees
Paid parental leave
A local in-person meet-up program
Hubs in San Francisco and Toronto
#J-18808-Ljbffr
Location & Work Model
This is a hybrid role, 3x per week at our SF office three days per week. About the Team
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. Responsibilities
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
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
Bonus (Nice to Have)
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
#LI-Hybrid Notice to Candidates: EvenUp has been made aware of fraudulent job postings and unaffiliated third parties posing as our recruiting team – please know that we have no affiliation or connection to these situations. We only post open roles on our career page evenuplaw.com/careers or reputable job boards like our official LinkedIn or Indeed pages, and all official EvenUp recruitment emails will come from the domains @evenuplaw.com, @evenup.ai, @ext-evenuplaw.com, no-reply@ashbyhq.com or no‑reply@canditech.io email addresses. To ensure fairness and proper consideration, we do not accept resumes or expressions of interest via email or social media messages. If you’re interested in a role, please submit your application directly through our careers page. Please note the above benefits & perks are for full-time employees EvenUp is an equal opportunity employer. We are committed to diversity and inclusion in our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Choice of medical, dental, and vision insurance plans for you and your family
Additional insurance coverage options for life, accident, or critical illness
Flexible paid time off, sick leave, short-term and long-term disability
10 US observed holidays, and Canadian statutory holidays by province
A home office stipend
401(k) for US-based employees and RRSP for Canada-based employees
Paid parental leave
A local in-person meet-up program
Hubs in San Francisco and Toronto
#J-18808-Ljbffr