AI Engineer

📋 Description

• Diagnose business problems before building solutions. Map workflows, identify constraints, and confirm whether AI is the right intervention. Be prepared to say \"this doesn’t need AI\" when that's the honest answer.
• 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, not months, 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. Measure success using flow metrics alongside adoption and ROI.
• Integrate AI capabilities into existing systems and workflows using APIs, orchestration tools, and modern AI platforms, including GitLab Duo Agent Platform, where appropriate. The right tool wins, whether that's custom code, a platform, or a well-crafted prompt.
• Be Customer Zero: leverage and showcase GitLab's AI offerings wherever possible, feeding real-world usage insights back to R&D.

🎯 Requirements

• A Technologist at Heart — genuinely invested in technology, the foundational and the cutting-edge; you reach for simple, effective solutions and see AI as a tooling layer over solid engineering.
• Competent, Confident Coding Skills — you can build production-ready solutions end-to-end and debug effectively.
• AI & LLMs — strong practical experience with Python, JavaScript/TypeScript, REST APIs, GraphQL, and modern AI tech including prompt engineering; hands-on with models.
• Model selection & cost-performance trade-offs — decide when smaller models or RAG are appropriate.
• Agentic architecture patterns — tool use, multi-agent orchestration, guardrails, and production-grade reliability.
• Systems Thinking & Diagnostic Rigour — map end-to-end flow and root causes before proposing solutions.

🎁 Benefits

• Flexible Paid Time Off
• Equity compensation & ESPP
• Growth and Development Fund
• Parental Leave
• All-remote, asynchronous work environment
• Health, finances, and well-being benefits