Backend Engineer, Ruby – AI Engineering, Duo Agent Platform Tools at GitLab

About the role

Intermediate Backend Engineer on GitLab's Agent Tools team, developing features for AI agents. Collaborating across teams to enhance GitLab's core platform with AI integration.

Develop, ship, and maintain features and improvements for Agentic Tools across the GitLab monolith backend in a secure, well-tested, and performant way.
Collaborate with Product Management, UX, frontend, backend, and AI specialists to refine requirements and deliver high-quality, iterative product enhancements.
Design, implement, and review GraphQL, REST APIs and related backend logic, ensuring reliability, scalability, and clear contracts with frontend clients.
Improve and extend automated testing, including RSpec and other frameworks, to strengthen quality, reliability, and developer feedback loops.
Share standards, patterns, and learnings with other engineers, raising the bar for responsible AI integration and evidence-driven engineering across the team.
Participate in Tier 2 on-call rotations to troubleshoot production issues, contribute to root cause analysis, and enhance observability and resiliency

Experience building and maintaining production applications with Ruby on Rails, including work with background jobs, APIs, and data models.
Comfortable working across the stack in a mature codebase. Familiarity with Python backends and/or Vue frontends a plus.
Proficiency in designing or extending REST and/or GraphQL APIs with attention to scalability, maintainability, and backward compatibility.
Strong practical experience working with AI tooling on a daily basis. Experience designing and shipping AI-powered backend features and integrations is a plus
SQL skills and familiarity with relational databases such as PostgreSQL, including writing efficient queries and understanding data modeling.
Openness to learning, collaborating in an async-first, distributed team, and applying transferable skills from related technologies or domains.
Clear written and verbal communication skills, including writing technical proposals and documentation, and collaborating effectively in a remote, asynchronous, cross-functional environment.