Note: The job is a remote job and is open to candidates in USA. GitLab is the intelligent orchestration platform for DevSecOps, and they are seeking an AI Engineer to help build the foundation for GitLab's transformation into an AI-first company. The role involves delivering internal AI-powered solutions that drive measurable business outcomes while improving organizational flow and integrating AI capabilities into existing systems.
Responsibilities
- 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
- Partner closely with stakeholders across functions to understand the real constraints. Ask the right questions, bridge technical and non-technical perspectives, and align on outcomes before jumping to solutions
- Define and track success through business metrics, flow metrics, and feedback loops that make performance visible and actionable
- Contribute to technical direction by evaluating tools, documenting patterns, and creating reusable foundations that help the team scale its impact
Skills
- Genuinely invested in technology, the foundational and the cutting-edge in equal measure
- You can build working solutions end-to-end, write clean and maintainable code, and debug effectively
- Strong proficiency in at least one modern scripting language (Python, JavaScript/TypeScript, or similar) and a solid understanding of REST APIs, GraphQL, and integration patterns
- Deep, practical experience with modern AI technologies, specifically: Prompt engineering as a core discipline
- Understanding when a smaller fine-tuned model outperforms a general-purpose large one, when RAG is the right architecture versus expanding the context window
- Practical fluency across the LLM ecosystem: hands-on experience with models from Anthropic, OpenAI, open-source alternatives
- You think critically about how the solutions you build could be exploited, misused, or produce unintended consequences
- The ability to look at a complex process and see the constraint
- Familiarity with the landscape of enterprise business systems, CRM (Salesforce), marketing automation (Marketo), support platforms (Zendesk), integration and orchestration tools (Workato), AI platforms (Relevance AI), and enterprise search and knowledge tools (Glean)
- Ability to have meaningful conversations with stakeholders across diverse domains and quickly understand their unique needs
- Track record of owning complex initiatives from discovery through delivery
- Ability to scope MVPs, prioritise ruthlessly, and deliver iteratively
- Experience with GitLab platform and CI/CD workflows
- Background in consulting, solutions engineering, or customer-facing technical roles
- Familiarity with value stream mapping, flow metrics, or Theory of Constraints thinking
- Experience with low-code/no-code orchestration tools (n8n, Make, Workato) alongside custom development
- Previous startup or high-growth company experience
- Experience mentoring or leading technical projects with junior engineers
Benefits
- Benefits to support your health, finances, and well-being
- Flexible Paid Time Off
- Team Member Resource Groups
- Equity Compensation & Employee Stock Purchase Plan
- Growth and Development Fund
- Parental Leave
Company Overview