What You’ll Bring

• Staff-level software-engineering experience building, shipping, and improving complex production systems.
• Hands-on experience designing and building substantive AI systems, with the ability to evaluate, trace, debug, and optimize their behavior.
• Strong understanding of how agentic systems use models, context, retrieval, tools, state, control flow, evaluation, and human oversight.
• Understanding of why AI systems become unreliable, fail to achieve adoption, or consume significant resources without producing useful outcomes.
• Depth in one or more areas of AI engineering, such as agent systems, context and knowledge systems, AI developer tools, inference, or AI-enabled product engineering.
• Strong programming skills in Python, TypeScript, Go, Rust, Java, Kotlin, Ruby, C#, or another language used to build AI, backend, developer-tooling, or platform systems.
• Ability to learn and contribute across large, mature, polyglot codebases.
• Practical understanding of AI safety, authorization, governance, observability, and cost management.
• Ability to communicate clearly with customers and senior stakeholders, work through ambiguity, and build trust while remaining deeply technical.
• A record of Staff-level impact through technical direction, reusable systems, mentorship, cross-team influence, or product architecture.

AI engineering spans multiple disciplines, and we do not expect every candidate to have equal depth across all of them. Strong candidates will bring deep expertise in one or more areas, along with the systems perspective needed to collaborate across the complete platform.

It Would Be Helpful If You Have

• Experience working directly with customers, design partners, or external engineering teams.
• Experience building AI systems for software development, coding agents, IDEs, code understanding, code review, testing, CI/CD, security, or incident response.
• Experience with LangChain, LangGraph, RAG, cache-augmented generation, knowledge graphs, agent evaluation, tracing, or related systems.
• Experience evaluating how model and inference behavior affects application or agent performance.
• Experience with self-hosted models, restricted environments, enterprise governance, or customer-controlled inference.
• Familiarity with Git, GitLab, CI/CD, developer platforms, or large open-source products.
• Experience with Ruby on Rails or other parts of GitLab’s existing product stack.
• Experience with AWS, GCP, Azure or Kubernetes.
• Experience with Infrastructure as Code tooling, such as Terraform, Ansible, etc.
• Public technical writing, architecture guidance, open-source contributions, talks, or other evidence of technical leadership.

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.

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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.