Senior AI Engineer

Posted 4hrs ago

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Job Description

Senior AI Engineer at GitLab developing AI solutions for organizational efficiency and workflow improvement. Responsible for driving measurable business outcomes through AI initiatives.

Responsibilities:

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, shorten lead times, and increase throughput
Integrate AI capabilities into existing systems and workflows using APIs, orchestration tools, and modern AI platforms
Be Customer Zero: leverage and showcase GitLab's AI offerings wherever possible
Partner closely with stakeholders across functions to understand the real constraints
Define and track success through business metrics, flow metrics, and feedback loops that make performance visible and actionable
Contribute to technical direction by evaluating tools, documenting patterns, and creating reusable foundations

Requirements:

A Technologist at Heart - genuinely invested in technology, the foundational and the cutting-edge in equal measure
Competent, Confident Coding Skills - can 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
Model selection and cost-performance trade-offs: understanding when a smaller fine-tuned model outperforms a general-purpose large one, when RAG is the right architecture versus expanding the context window
Agentic architecture patterns: tool use, multi-agent orchestration, human-in-the-loop designs, guardrails, evaluation frameworks, and production-grade reliability patterns
AI Safety & Risk Awareness - think critically about how the solutions you build could be exploited, misused, or produce unintended consequences
Systems Thinking & Diagnostic Rigour - the ability to look at a complex process and see the constraint
Business System Expertise - familiarity with the landscape of enterprise business systems, CRM (Salesforce), marketing automation (Marketo), support platforms (Zendesk)
Broad Functional Understanding - ability to have meaningful conversations with stakeholders across diverse domains and quickly understand their unique needs
End-to-End Ownership - track record of owning complex initiatives from discovery through delivery
Product Mindset - ability to scope MVPs, prioritise ruthlessly, and deliver iteratively