Agentic architecture and multi-agent orchestration
GitLab is seeking an AI Engineer to lead the development of AI-powered solutions that enhance organizational workflows and drive measurable business outcomes. The ideal candidate will possess strong engineering skills, AI expertise, and a systems thinking approach, while contributing to GitLab's mission in a fully remote environment
Job Summary
This role involves building the foundation for GitLab's transformation into an AI-first company by delivering internal AI-powered solutions.
The engineer must diagnose business problems before building solutions, ensuring AI is the right intervention rather than forcing technology where it doesn't fit.
Success is measured through flow metrics, adoption rates, and ROI while integrating AI capabilities into existing systems like CRM and support platforms.
Matching Summary
Match Score: 85
GitLab is seeking an AI Engineer to lead the development of AI-powered solutions that enhance organizational workflows and drive measurable business outcomes. The ideal candidate will possess strong engineering skills, AI expertise, and a systems thinking approach, while contributing to GitLab's mission in a fully remote environment.
Skills & Requirements
Must-have
Python or JavaScript/TypeScript proficiency
Prompt engineering and LLM integration
Agentic architecture and multi-agent orchestration
REST APIs and GraphQL integration patterns
AI safety, guardrails, and risk mitigation
Systems thinking and workflow diagnostics
Nice-to-have
Experience with GitLab platform and CI/CD
Background in consulting or solutions engineering
Familiarity with value stream mapping
Low-code/no-code orchestration tools experience
Startup or high-growth company background
Mentoring junior engineers
Key Requirements
Strong coding skills in Python or TypeScript
Deep practical experience with modern AI technologies
Understanding of enterprise business systems landscape
Ability to own initiatives from discovery to delivery