AI Engineer, AI Engineering

Git Lab is an open-core software company that develops the most comprehensive AI-powered Dev Sec Ops  Platform, used by more than 100,000 organizations. Our mission is to enable everyone to contribute to and co-create the software that powers our world. When everyone can contribute, consumers become contributors, significantly accelerating human progress. Our platform unites teams and organizations, breaking down barriers and redefining what's possible in software development.

Thanks to products like Duo Enterprise and Duo Agent Platform, customers get AI benefits at every stage of the SDLC.

Git Lab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software.

As a Staff AI Engineer, you’ll build the foundation for Git Lab's transformation into an AI-First company. Reporting to the Director of AI Engineering, you'll be a hands-on technical leader responsible for the end-to-end delivery of internal AI-powered solutions that drive measurable business outcomes across the organization.

You’ll own initiatives from functional requirements through deployment—combining deep technical expertise with broad business acumen to ship fast and drive impact. With initial focus areas in Sales, Marketing, and Customer Support, you'll work across multiple business functions, understanding diverse needs and delivering AI solutions embedded within core systems and workflows. You'll partner closely with stakeholders across Go-To-Market, R&D, Finance, and other teams to identify high-ROI opportunities and move from concept to production quickly.

• Own End-to-End Delivery: Take full ownership of AI initiatives from stakeholder engagement and functional requirements through architecture, development, and deployment. Drive projects to completion with speed and quality.
• Build & Ship Fast: Design, develop, and deploy AI-powered solutions that drive measurable business outcomes—with a bias toward rapid iteration and tangible ROI. Initial focus areas include Sales enablement, Marketing automation, and Customer Support optimization.
• Platform Integration: Build on top of modern AI platforms and frameworks (including Git Lab Duo Agent Platform), integrating AI capabilities into existing business systems via APIs and integration layers.
• Be Customer Zero: Leverage and showcase Git Lab's AI offerings wherever possible.
• Stakeholder Partnership: Taking a consultative approach, work closely with business stakeholders across multiple functions to understand friction points, requirements, and opportunities for AI impact.
• Measure Value: Own measurable outcomes tied to business KPIs. Define success metrics, track adoption, and demonstrate ROI that impacts both top and bottom line.
• Shape Technical Direction: Contribute to technology selection, architectural decisions, and the long-term technical roadmap. Evaluate new platforms and bring recommendations forward.
• Technical Leadership: Set technical standards, document solutions, and create reusable frameworks. As the team grows, provide mentorship and technical guidance to junior engineers.
• Stay Ahead: Remain current with AI innovations, evaluate new technologies and platforms, and bring recommendations for consideration.

• Engineering
  
  Experience:
  
  7+ years in software engineering, with recent focus on AI/ML solutions, automation, or platform engineering.
• Technical Depth: Strong proficiency in Python and experience with modern AI technologies including LLMs (OpenAI, Anthropic Claude, etc.), agentic orchestration frameworks, and RAG architectures. Comfortable working with APIs, integration patterns, and data management.
• Business System Expertise: Hands-on experience integrating with business systems such as CRM (Salesforce), marketing automation (Marketo, Hub Spot), support platforms (Zendesk), and financial systems.…