Senior AI Engineer

• Diagnose business problems before building solutions. Map workflows, identify constraints, and confirm whether AI is the right intervention.
• Own AI initiatives end-to-end, from stakeholder discovery and technical design through implementation, deployment, and iteration.
• Design, develop, and ship AI-powered solutions quickly, delivering working prototypes in days with a focus on practical outcomes and measurable business value.
• Improve organizational flow by building solutions that reduce bottlenecks, shorten lead times, and increase throughput.
• Integrate AI capabilities into existing systems and workflows using APIs, orchestration tools, and modern AI platforms.
• Be Customer Zero: leverage and showcase GitLab's AI offerings and feed real-world usage insights back to R&D.
• Partner closely with stakeholders across functions to understand constraints and align on outcomes.
• Define and track success through business metrics, flow metrics, and feedback loops.
• Contribute to technical direction by evaluating tools, documenting patterns, and creating reusable foundations.

• Proficient in technology with a focus on both foundational and cutting-edge solutions.
• Competent, confident coding skills, able to deliver production-quality work independently.
• Strong proficiency in modern scripting languages (Python, JavaScript/TypeScript) and a solid understanding of REST APIs, GraphQL, and integration patterns.
• Deep practical experience with modern AI technologies, including prompt engineering and model selection.
• Experience with agentic architecture patterns and practical fluency across the LLM ecosystem.
• AI safety and risk awareness skills, including designing appropriate guardrails.
• Systems thinking and diagnostic rigor, able to map workflows and identify bottlenecks.
• Business system expertise with understanding of enterprise business systems and integration tools.
• Broad functional understanding and the ability to engage with stakeholders across diverse domains.
• End-to-end ownership abilities with experience in driving complex initiatives.
• Product mindset with the ability to scope MVPs and consider adoption and business outcomes.
• Experience with GitLab platform and CI/CD workflows is preferred.
• Background in consulting, solutions engineering, or customer-facing technical roles is preferred.
• Familiarity with value stream mapping, flow metrics, or Theory of Constraints thinking is preferred.
• Experience with low-code/no-code orchestration tools alongside custom development is preferred.
• Previous startup or high-growth company experience is preferred.
• Experience mentoring or leading technical projects with junior engineers is preferred.

Pay range: $139K - $218K