AI Engineer - GitLab

GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100 trust GitLab to ship better, more secure software faster.

We embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued.

Role Overview

As an AI Engineer at GitLab, you'll help build the foundation for GitLab's transformation into an AI-first company. Reporting to the Director, Enterprise AI, you'll be a hands-on technical leader responsible for delivering internal AI-powered solutions that drive measurable business outcomes.

Building fast matters, but it's not enough on its own. This role starts with understanding the real problem: mapping how work moves across teams, tools, and handoffs, identifying the true constraint, and validating whether AI is the right solution before you begin development. From there, you'll take ownership from discovery through deployment, combining strong engineering skills with systems thinking and business understanding.

Your initial focus will span Sales, Marketing, and Customer Support, where you will embed AI solutions into key systems and workflows. This role offers the opportunity to shape how GitLab team members work, improve flow across the organization, and help advance our mission in a remote, asynchronous, and values-driven environment.

What You'll Do

• Diagnose Business Problems: 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.
• End-to-End Ownership: Own AI initiatives from stakeholder discovery and technical design through implementation, deployment, and iteration.
• Rapid Prototyping: 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 Flow: Build solutions that reduce bottlenecks, shorten lead times, and increase throughput. Measure success using flow metrics alongside adoption and ROI.
• System Integration: 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 wherever possible, feeding real-world usage insights back to R&D.
• Stakeholder Partnership: Partner closely with cross-functional stakeholders to understand constraints, bridge technical and non-technical perspectives, and align on outcomes.
• Define Metrics: Track success through business metrics, flow metrics, and feedback loops that make performance visible and actionable.
• Technical Direction: Evaluate tools, document patterns, and create reusable foundations that help the team scale its impact.

What You'll Bring

• Technologist at Heart: Genuinely invested in technology, both foundational and cutting-edge. You reach for the simplest solution that solves the problem well, prioritizing solid engineering fundamentals.
• Coding Skills: Ability to 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.
• Prompt Engineering & Model Selection: Practical experience designing effective system prompts, managing context windows, structuring multi-turn interactions, and making principled decisions about model capability versus cost (e.g., RAG vs. context window expansion).
• Agentic Architecture Patterns: Experience with tool use, multi-agent orchestration, human-in-the-loop designs, guardrails, evaluation frameworks, and production-grade reliability patterns. Practical fluency across the LLM ecosystem (Anthropic, OpenAI, open-source alternatives).
• AI Safety & Risk Awareness: Critical thinking regarding how solutions could be exploited or misused. Ability to design appropriate guardrails (input validation, output filtering, access controls, prompt injection defenses, and data leakage prevention).
• Systems Thinking: Ability to look at a complex process, map how work flows end-to-end, identify bottlenecks, and trace problems to root causes.
• Business System Expertise: Familiarity with enterprise business systems, CRM (Salesforce), marketing automation (Marketo), support platforms (Zendesk), integration tools (Workato), AI platforms (Relevance AI), and enterprise search tools (Glean).
• Product Mindset: Ability to scope MVPs, prioritize ruthlessly, and deliver iteratively while considering adoption, user experience, and business outcomes.

Preferred Requirements

• Experience with the 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.

About the Team

You will join the Enterprise Technology & AI team. We're the backbone of the organization, driving transformation in how GitLab team members make decisions, operate at scale, and deliver results for our customers. We work in an all-remote, asynchronous setting, guided by GitLab's values of collaboration, results, efficiency, diversity, inclusion and belonging, iteration, and transparency.

Benefits & Support

• Benefits to support your health, finances, and well-being
• Flexible Paid Time Off (PTO)
• Team Member Resource Groups
• Equity Compensation & Employee Stock Purchase Plan
• Growth and Development Fund
• Parental Leave