Senior Backend Engineer, AI Platform

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, backed by top VCs, including Bessemer Venture Partners, Bain Capital Ventures, SignalFire, and Lightspeed.

About the role

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 a hybrid role, three days per week at our Toronto office.

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.
• Lead the design, development, and optimization of robust backend systems for deploying LLM-based algorithms and services.
• Manage projects through their complete lifecycle—from architecture to deployment, monitoring, and improvement.
• Work with other engineering teams to understand use cases and deliver scalable platform solutions.
• Develop high-quality, maintainable code using a modern tech stack (Python, Postgres, Kubernetes, Elasticsearch).
• Grow as an engineer working alongside world-class peers on impactful, cutting-edge generative AI projects.

Requirements

• 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.

Skills

• Background with AI systems, LLMs, or machine learning infrastructure (bonus).
• Experience in legal tech or social impact–driven products (bonus).
• Prior work supporting internal platforms or developer-facing tools (bonus).

Benefits

• 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 with hubs in San Francisco and Toronto.

(Benefits and perks listed are for full-time employees.)

Pay

Compensation Range: $184,728 - $249,926

Schedule

Hybrid role, three days per week at our Toronto office.