Backend Engineer (Python),AI Engineering: Agent Foundations

About the role

GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, in

Requirements

• Design, implement and review APIs (including GraphQL and REST) and the backend logic behind them, with reliable, scalable and clear contracts for clients such as the GitLab monolith, IDE extensions an
• Improve and extend automated testing (pytest and other frameworks), including evaluations of agent and flow behavior, to strengthen quality and give developers faster feedback.
• Share standards, patterns and learnings with other engineers to raise the bar for responsible AI integration and evidence-driven engineering.
• Join Tier 2 on-call rotations to troubleshoot production issues, contribute to root cause analysis, and improve observability and resiliency.
• Keep an eye on the competitive landscape to help keep GitLab's agent platform best-in-class as more work becomes agentic.
• Experience building and maintaining production Python backend applications, including APIs, asynchronous or background processing, and data models.
• Experience with LLM application frameworks such as LangGraph, or designing and shipping AI-powered backend features or harnesses.
• Skill in designing or extending APIs (REST, GraphQL or gRPC) with attention to scalability, maintainability and backward compatibility.