AI Engineer

About the company GitLab is the intelligent orchestration platform for DevSecOps, trusted by more than 50 million registered users and over 50% of the Fortune 100. With $130M+ in backing and a fully remote, async-first culture, GitLab is transforming how the world develops software through AI-first workflows and values-driven collaboration. About the role As an AI Engineer on the Enterprise Technology & AI team, you'll build internal AI-powered solutions that drive measurable business outcomes across Sales, Marketing, and Customer Support. Reporting to the Director of Enterprise AI, you'll own initiatives end-to-end — from diagnosing real business constraints through deployment — combining strong engineering fundamentals with systems thinking. Responsibilities - Diagnose business problems before building: map workflows, identify constraints, and confirm whether AI is actually the right intervention - Own AI initiatives end-to-end — stakeholder discovery, technical design, implementation, deployment, and iteration - Design and ship AI-powered solutions quickly, delivering working prototypes in days with focus on measurable business value - Integrate AI capabilities into existing systems (Salesforce, Marketo, Zendesk, Workato, Relevance AI, Glean) using APIs and orchestration tools - Improve organizational flow by reducing bottlenecks, shortening lead times, and tracking success via flow metrics and ROI - Act as Customer Zero: leverage GitLab's own AI offerings (Duo Agent Platform) and feed real-world insights back to R&D - Define and track success through business metrics, flow metrics, and feedback loops Requirements - 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 prompt engineering, model selection, RAG architecture, agentic patterns, and multi-agent orchestration - Practical fluency across the LLM ecosystem: Anthropic, OpenAI, and open-source alternatives - AI safety awareness: input validation, output filtering, prompt injection defenses, access controls, and data leakage prevention - Systems thinking ability: map end-to-end workflows, identify constraints, trace problems to root causes - Familiarity with enterprise business systems: CRM, marketing automation, support platforms, and integration tools - Track record of owning complex initiatives from discovery through delivery with measurable outcomes Nice to have - 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 - Experience with low-code/no-code orchestration tools (n8n, Make, Workato) - Previous startup or high-growth company experience - Experience mentoring or leading technical projects with junior engineers Benefits & perks - Flexible Paid Time Off - Equity compensation and Employee Stock Purchase Plan - Health, finances, and well-being benefits - Growth and Development Fund - Parental Leave - Team Member Resource Groups Compensation Base salary $108,400–$129,600 USD for US residents. Does not include bonuses, equity, or benefits. Sales roles eligible for incentive pay up to 100% of base salary. Equity and ESPP available.