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Senior AI Engineer

GitLab
Remote - USUpdated 23d ago
Base salary
$108k–$130k
Published base salary range
Location
Remote - US
Remote eligibility
Employment
Full-time
Senior
Role family
Engineering
Developer tools
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About the job

GitLab is the intelligent orchestration platform for DevSecOps, trusted by more than 50 million registered users and over 50% of the Fortune 100. We are seeking a Senior AI Engineer to help build the foundation for GitLab's transformation into an AI-first company. Reporting to the Director, Enterprise AI, you will be a hands-on technical leader responsible for delivering internal AI-powered solutions that drive measurable business outcomes. Your initial focus will span Sales, Marketing, and Customer Support, where you will embed AI solutions into key systems and workflows.

What you'll do

  • Diagnose business problems before building solutions, mapping workflows, identifying constraints, and confirming 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, not months.
  • 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, including GitLab Duo Agent Platform.
  • Be Customer Zero: leverage and showcase GitLab's AI offerings, feeding real-world usage insights back to R&D.
  • Partner closely with stakeholders across functions to understand real 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.

What you'll bring

  • Strong coding skills with the ability to build working solutions end-to-end.
  • AI & LLM technical depth: proficiency in Python, JavaScript/TypeScript, REST APIs, GraphQL, and integration patterns.
  • Deep practical experience with prompt engineering, model selection, RAG, and agentic architecture patterns.
  • Practical fluency across the LLM ecosystem, including models from Anthropic and OpenAI.
  • AI safety and risk awareness, including designing guardrails.
  • Systems thinking and diagnostic rigor to identify constraints and root causes.
  • Familiarity with enterprise business systems such as Salesforce, Marketo, Zendesk, Workato, Relevance AI, and Glean.
  • Product mindset with ability to scope MVPs and deliver iteratively.

Compensation

The base salary range for this role's listed level is $108,400—$129,600 USD for residents of the United States only. This range does not include bonuses, equity, or benefits.

Benefits

  • Flexible Paid Time Off
  • Equity Compensation & Employee Stock Purchase Plan
  • Growth and Development Fund
  • Parental Leave

Application

Please apply via the provided application link. GitLab is an equal opportunity employer.

Skills & tags

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