Senior AI Engineer

## About the Role As a Senior AI Engineer at Gitlab, you will play a critical role in driving the company's transformation into an AI-first organization. You will be responsible for building the foundation for Gitlab's AI-powered solutions, with a focus on delivering measurable business outcomes. Your initial focus will span Sales, Marketing, and Customer Support, where you will embed AI solutions into key systems and workflows. The successful candidate will be a hands-on technical leader, with strong engineering skills, systems thinking, and business understanding. You will be expected to take ownership of AI initiatives from discovery through deployment, working closely with stakeholders across functions to understand the real constraints and identify opportunities for improvement. Gitlab is committed to creating a high-performance culture, driven by its values and continuous knowledge exchange. As a Senior AI Engineer, you will be part of a team that is passionate about innovation, collaboration, and driving impact. You will have the opportunity to work with industry leaders, solve complex problems, and contribute to the development of technology that transforms how the world develops software. ## What You Will Do - Diagnose business problems before building solutions, mapping workflows, identifying constraints, and confirming whether AI is the right intervention - 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, measuring 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 - Partner closely with stakeholders across functions to understand the real constraints, asking the right questions, and validating assumptions - Leverage and showcase Gitlab's AI offerings wherever possible, feeding real-world usage insights back to R&D - Collaborate with cross-functional teams to identify opportunities for AI-driven innovation and improvement - Develop and maintain technical documentation, ensuring that AI solutions are well-documented and easy to understand

## What We Are Looking For - 5+ years of experience in AI engineering, with a strong background in software development and machine learning - Experience with Salesforce and Adjust, as well as other AI technologies and platforms - Strong engineering skills, with proficiency in languages such as Python, Java, or C++ - Experience with APIs, orchestration tools, and modern AI platforms - Business understanding, with the ability to identify opportunities for improvement and measure success - Strong communication and collaboration skills, with the ability to work effectively in a remote, asynchronous environment - Experience with Agile development methodologies and version control systems such as Git - Strong problem-solving skills, with the ability to diagnose complex problems and develop creative solutions

## Nice to Have - Experience with cloud-based platforms, such as AWS or Azure - Familiarity with DevOps practices and tools, such as Docker and Kubernetes - Experience with data analytics and visualization tools, such as Tableau or Power BI - Knowledge of security and compliance principles, with experience in implementing secure AI solutions

## Benefits and Perks - Competitive salary and benefits package - Opportunity to work with a leading company in the AI and software development space - Collaborative, dynamic work environment with a team of experienced professionals - Flexible working hours and remote work options - Professional development opportunities, with access to training and education resources - Access to the latest technologies and tools, with the opportunity to contribute to the development of innovative AI solutions - Comprehensive health and wellness program, with access to mental health resources and support

- Tip: When applying for this role, be sure to highlight your experience with AI technologies, as well as your ability to work collaboratively in a remote environment.

• To stand out as a candidate, be prepared to showcase your portfolio of AI projects, including any relevant code or prototypes you have developed.
• During the interview process, be prepared to answer technical questions about your experience with AI, as well as behavioral questions about your ability to work collaboratively and drive innovation.
• When negotiating salary, be sure to research the market rate for AI engineers in your area, and be prepared to make a strong case for your worth as a candidate.
• Red flag: If the company is not willing to provide a clear understanding of the role and responsibilities, or if they are unclear about their goals and expectations for the position.