Senior AI Engineer på Gitlab i Remote

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 a Senior AI Engineer at GitLab, 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 - Genuinely invested in technology, the foundational and the cutting-edge in equal measure. You're as

energised by a well-designed API integration as you are by the latest foundation model release. You reach for the simplest

solution that solves the problem well, rather than forcing new technology when proven approaches would do. AI is a powerful

part of your toolkit, but it sits on top of solid engineering fundamentals, not in place of them.

Competent, Confident Coding Skills - You can build working solutions end-to-end, write clean and maintainable code, and debug

effectively. Whether your skills were honed in a traditional engineering role, through building automations, or shipping side

projects, what matters is that you can deliver production-quality work independently.

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. Deep, practical experience with modern AI

technologies, specifically: Prompt engineering as a core discipline: designing effective system prompts, managing context

windows, structuring multi-turn interactions, evaluating output quality, and iterating systematically on prompt design.

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, and how to make principled decisions about

capability versus cost.

Agentic architecture patterns: tool use, multi-agent orchestration, human-in-the-loop designs, guardrails, evaluation

frameworks, and production-grade reliability patterns.Practical fluency across the LLM ecosystem: hands-on experience with

models from Anthropic, OpenAI, open-source alternatives, and the judgment to know which to reach for and when.

AI Safety & Risk Awareness - You think critically about how the solutions you build could be exploited, misused, or produce

unintended consequences. You know how to design appropriate guardrails (input validation, output filtering, access controls,

prompt injection defences, and data leakage prevention) and you treat these as first-class engineering concerns.

Systems Thinking & Diagnostic Rigour - The ability to look at a complex process and see the constraint. Comfortable mapping how

work flows end-to-end, identifying bottlenecks, and tracing problems to root causes before proposing solutions. You

instinctively ask "what's actually blocking flow here?" before asking "what model should I use?"

Business System Expertise - Familiarity with the landscape of enterprise business systems, CRM (Salesforce), marketing

automation (Marketo), support platforms (Zendesk), integration and orchestration tools (Workato), AI platforms (Relevance AI),

and enterprise search and knowledge tools (Glean). You don't need deep experience with all of these, but to understand what

they do, how they fit together, and be willing to build with and across them. A strong understanding of enterprise data models

and workflows is essential.

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. Comfortable operating with

ambiguity and driving to measurable outcomes independently.

Product Mindset - Ability to scope MVPs, prioritise ruthlessly, and deliver iteratively. In addition, consider adoption, user

experience, and business outcomes.

Preferred requirements

Experience with 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 thinking
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 with junior engineers

ABOUT THE TEAM

You will join the Enterprise Technology & AI team. We're the backbone of the organisation, driving transformation in how GitLab

team members make decisions, operate at scale, and deliver results for our customers.

We believe the best AI solutions start with understanding the system, not the technology. We value people who think in constraints

and flow, who build with conviction, and who never stop learning. We work in an all-remote, asynchronous setting, guided by

GitLab's values of collaboration, results, efficiency, diversity, inclusion and belonging, iteration, and transparency.

HOW GITLAB SUPPORTS FULL-TIME EMPLOYEES

Benefits to support your health, finances, and well-being
Flexible Paid Time Off
Team Member Resource Groups
Equity Compensation & Employee Stock Purchase Plan
Growth and Development Fund
Parental Leave

Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet

every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a

job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to

assess your application.

---------------------------------------------------------------------------------------------------------------------------------

Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some

roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about

location after starting the recruiting process.

GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices

relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit,

regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender

expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including

family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently

separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis

protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s

EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know during

the recruiting process.

Role

Senior AI Engineer

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