AI Engineer

Stack

Responsibilities

• ▹Diagnose business problems before building solutions; map workflows and identify constraints
• ▹Own AI initiatives end-to-end, from discovery through implementation and iteration
• ▹Design, develop, and ship AI-powered solutions quickly (days, not months)
• ▹Improve organizational flow, measuring success via flow metrics, adoption, and ROI
• ▹Integrate AI capabilities into existing systems via APIs, orchestration tools, and the GitLab Duo Agent Platform
• ▹Act as "Customer Zero," showcasing GitLab's AI offerings and feeding insights back to R&D
• ▹Partner closely with stakeholders to understand real constraints
• ▹Contribute to technical direction by evaluating tools and documenting reusable patterns

Requirements

• ▹Confident, independent coding skills to build and debug production-quality solutions end-to-end
• ▹Strong proficiency in at least one modern scripting language (Python, JavaScript/TypeScript), REST APIs, GraphQL, integration patterns
• ▹Deep, practical AI/LLM experience: prompt engineering, model selection and cost-performance trade-offs, agentic architecture patterns (tool use, multi-agent orchestration, human-in-the-loop, guardrails)
• ▹Practical fluency across the LLM ecosystem (Anthropic, OpenAI, open-source alternatives)
• ▹AI safety and risk awareness, guardrail design (input validation, output filtering, prompt injection defenses)
• ▹Systems thinking and diagnostic rigor to identify bottlenecks and root causes
• ▹Familiarity with enterprise business systems (Salesforce, Marketo, Zendesk, Workato, Relevance AI, Glean)
• ▹End-to-end ownership and a product mindset

Nice to have

• ▹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
• ▹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

Soft skills

About the company

As part of GitLab's Enterprise Technology & AI team, you'll drive the AI transformation powering how the organization makes decisions and scales. The team works fully remote and asynchronous.