Senior AI Engineer

About the role

GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab 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.

• Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab.

An overview of this role

As an , you'll help build the foundation for GitLab's transformation into an AI-first company. Reporting to the Director, Enterprise AI, you'll be a hands-on technical leader responsible for delivering internal AI-powered solutions that drive measurable business outcomes. Building fast matters, but it's not enough on its own. This role starts with understanding the real problem: mapping how work moves across teams, tools, and handoffs, identifying the true constraint, and validating whether AI is the right solution before you begin development. From there, you'll take ownership from discovery through deployment, combining strong engineering skills with systems thinking and business understanding. Your initial focus will span Sales, Marketing, and Customer Support, where you will embed AI solutions into key systems and workflows. This role offers the opportunity to shape how GitLab team members work, improve flow across the organization, and help advance our mission in a remote, asynchronous, and values-driven environment.

What you'll do

Diagnose business problems before building solutions. Map workflows, identify constraints, and confirm whether AI is the right intervention. Be prepared to say "this doesn't need AI" when that's the honest answer.

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, delivering working prototypes in days, not months, with a focus on practical outcomes and measurable business value.

Improve organizational flow by building solutions that reduce bottlenecks, shorten lead times, and increase throughput. Measure success using flow metrics alongside adoption and ROI.

Integrate AI capabilities into existing systems and workflows using APIs, orchestration tools, and modern AI platforms, including GitLab Duo Agent Platform, where appropriate. The right tool wins, whether that's custom code, a platform, or a well-crafted prompt.

Be Customer Zero: leverage and showcase GitLab's AI offerings wherever possible, feeding real-world usage insights back to R&D.

Partner closely with stakeholders across functions to understand the real constraints. Ask the right questions, bridge technical and non-technical perspectives, and align on outcomes before jumping to solutions.

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 that help the team scale its impact.

What you'll bring

A Technologist at Heart

You are genuinely invested in technology, the foundational and the cutting-edge in equal measure. You are as energized by a well-designed API integration as you are by a novel model architecture. You care about clean implementation and robust design. You are comfortable navigating ambiguity and making sound tradeoffs in fast-moving environments. You are a strong communicator who enjoys explaining complex topics to both technical and non-technical audiences. You are comfortable working asynchronously across time zones with a high degree of trust and ownership. You are excited by the opportunity to solve meaningful problems for customers and internal stakeholders. You are a team player who believes in collective code ownership and knowledge sharing.

Requirements

You have 5+ years of professional software engineering experience.

You have 3+ years of experience building or applying AI models and systems within a production environment.

You are proficient in Python and modern AI/ML libraries and frameworks.

You have hands-on experience with at least one major cloud platform and container orchestration.

You have a strong grasp of software design patterns, distributed systems concepts, and API integration practices.

You have demonstrated experience delivering production-grade AI features with reliability and security in mind.

You have a track record of collaborating with cross-functional stakeholders to define and deliver solutions.

You are comfortable making decisions with incomplete information and iterating based on feedback.

Nice to have

Experience contributing to open source projects relevant to AI or developer tooling.

Familiarity with GitLab Duo Agent Platform and related agentic workflows.

Knowledge of prompt engineering techniques and evaluation methods for LLM outputs.

Experience building integrations with CRM, marketing automation, or customer support systems.

Practical notes

Location: Remote (USA)

Engagement: Full-time