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GitLab

AI Engineer

GitLab

AI Engineer responsible for internal AI-powered solutions at GitLab. Working with Sales, Marketing, and Customer Support to improve workflows with AI technology.

Posted 5/29/2026full-timeRemote • 🇺🇸 United StatesMid-LevelSenior💰 $108,400 - $129,600 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
  • Integrate AI capabilities into existing systems and workflows
  • Partner closely with stakeholders across functions
  • Define and track success through business metrics and feedback loops

Requirements

What you’ll need
  • Strong proficiency in at least one modern scripting language (Python, JavaScript/TypeScript, or similar)
  • Solid understanding of REST APIs, GraphQL, and integration patterns
  • Deep, practical experience with modern AI technologies
  • Model selection and cost-performance trade-offs understanding
  • Familiarity with the landscape of enterprise business systems, CRM (Salesforce), marketing automation (Marketo), support platforms (Zendesk)
  • Ability to scope MVPs, prioritise ruthlessly, and deliver iteratively.
  • Experience mentoring or leading technical projects with junior engineers

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

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
PythonJavaScriptTypeScriptREST APIsGraphQLAI technologiesmodel selectioncost-performance trade-offsMVP scopingiterative delivery
Soft Skills
problem diagnosisstakeholder collaborationorganizational flow improvementmentoringtechnical project leadershipprioritization