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What you'll do:
- Identify sources of friction across GitLab's software development lifecycle and scope agentic solutions to address them.
- Design and build reliable AI-powered systems that follow step-by-step workflows, use tools and safety checks, and correct errors before taking engineering action.
- Build and maintain evaluation tools that judge agent output on correctness, constraint compliance, and cost.
What you'll bring:
- Hands-on experience building agentic or large language model-based systems with multi-step orchestration, tool use, guardrails, and recovery patterns.
- A track record of working autonomously in unfamiliar codebases, getting oriented quickly, and driving solutions through completion.
- Strong distributed systems knowledge including coordination, consistency, idempotency, rate limiting, failure modes, and degradation under load.
About the team:
- Nonlinear Productivity is a strategic incubation group that reports into AI Platform leadership under the direct sponsorship of the CTO.
- It operates like a startup with no dedicated product manager or pre-set backlog, and solutions that prove out internally are the path to a monetized, customer-facing GitLab offering.
- The team is split into US and India groups that sync on roadmap and tooling a few times a week, otherwise running day to day on their own.
GitLab
GitLab is an intelligent orchestration platform for DevSecOps that enables organizations to increase developer productivity and improve operational efficiency. With over 50 million registered users and a high-performance culture, GitLab fosters innovation and collaboration across a global remote team.