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About This Role
The Senior AI Engineer at GitLab will help build the foundation for the company's transformation into an AI-first company, delivering internal AI-powered solutions that drive measurable business outcomes. This role involves understanding business problems, mapping workflows, and identifying constraints to validate whether AI is the right solution. The Senior AI Engineer will own AI initiatives end-to-end, from discovery through deployment, and integrate AI capabilities into existing systems and workflows. The goal is to improve organizational flow, reduce bottlenecks, and increase throughput.
Key ResponsibilitiesAI-extracted
- 1Diagnose business problems before building solutions and validate whether AI is the right intervention.
- 2Own AI initiatives end-to-end, from stakeholder discovery and technical design through implementation, deployment, and iteration.
- 3Design, develop, and ship AI-powered solutions quickly, delivering working prototypes in days, not months, with a focus on practical outcomes and measurable business value.
- 4Improve organizational flow by building solutions that reduce bottlenecks, shorten lead times, and increase throughput.
- 5Integrate AI capabilities into existing systems and workflows using APIs, orchestration tools, and modern AI platforms.
RequirementsAI-extracted
- Strong proficiency in at least one modern scripting language and a solid understanding of REST APIs, GraphQL, and integration patterns.
- Deep, practical experience with modern AI technologies, including prompt engineering, model selection, and agentic architecture patterns.
- AI Safety & Risk Awareness, with the ability to design appropriate guardrails and treat these as first-class engineering concerns.
- Systems Thinking & Diagnostic Rigour, with the ability to look at a complex process and see the constraint.
- Business System Expertise, with familiarity with the landscape of enterprise business systems and enterprise data models and workflows.
Perks & BenefitsAI-extracted
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