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GitLab

Senior AI Engineer

GitLab

Senior AI Engineer at GitLab developing AI solutions for organizational efficiency and workflow improvement. Responsible for driving measurable business outcomes through AI initiatives.

Posted 5/26/2026full-timeRemote • 🇺🇸 United StatesSenior💰 $139,200 - $218,400 per yearWebsite

Tech Stack

Tools & technologies
GraphQLJavaScriptPythonTypeScript

About the role

Key responsibilities & impact
  • Diagnose business problems before building solutions
  • 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
  • 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 wherever possible
  • Partner closely with stakeholders across functions to understand the real constraints
  • 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

Requirements

What you’ll need
  • A Technologist at Heart - genuinely invested in technology, the foundational and the cutting-edge in equal measure
  • Competent, Confident Coding Skills - can build working solutions end-to-end, write clean and maintainable code, and debug effectively
  • AI & LLM Technical Depth - 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
  • Model selection and cost-performance trade-offs: understanding when a smaller fine-tuned model outperforms a general-purpose large one, when RAG is the right architecture versus expanding the context window
  • Agentic architecture patterns: tool use, multi-agent orchestration, human-in-the-loop designs, guardrails, evaluation frameworks, and production-grade reliability patterns
  • AI Safety & Risk Awareness - think critically about how the solutions you build could be exploited, misused, or produce unintended consequences
  • Systems Thinking & Diagnostic Rigour - the ability to look at a complex process and see the constraint
  • Business System Expertise - familiarity with the landscape of enterprise business systems, CRM (Salesforce), marketing automation (Marketo), support platforms (Zendesk)
  • Broad Functional Understanding - ability to have meaningful conversations with stakeholders across diverse domains and quickly understand their unique needs
  • End-to-End Ownership - track record of owning complex initiatives from discovery through delivery
  • Product Mindset - ability to scope MVPs, prioritise ruthlessly, and deliver iteratively

Benefits

Comp & perks
  • 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

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools
PythonJavaScriptTypeScriptREST APIsGraphQLAI-powered solutionsmodel selectionmulti-agent orchestrationhuman-in-the-loop designsproduction-grade reliability
Soft Skills
diagnostic rigorsystems thinkingend-to-end ownershipproduct mindsetstakeholder engagementcritical thinkingorganizational flow improvementcommunicationcollaborationproblem-solving