AI Engineer

About the role

Become a part of GitLab as an AI Engineer and play a role in our mission to evolve into an AI-centric organization. In this position, you will be tasked with developing internal AI solutions that yield significant enhancements to our business operations. A thorough comprehension of business processes is essential, along with the capability to pinpoint areas where AI can provide real value.

Key facts

What you'll do

• Conduct thorough analyses of business challenges to assess whether AI is a suitable solution, mapping out workflows and identifying potential limitations.
• Oversee AI projects from their inception and design phases through to execution and continuous improvement.
• Rapidly develop and implement AI-driven tools, concentrating on delivering practical results and quantifiable business benefits.
• Improve organizational productivity by creating solutions that eliminate bottlenecks and enhance output, evaluated through flow metrics and adoption rates.
• Seamlessly integrate AI functionalities into existing systems using APIs and orchestration tools, including the GitLab Duo Agent Platform.
• Serve as an early adopter of GitLab's AI products, providing valuable feedback to the research and development team based on real-world application.
• Collaborate with various stakeholders to grasp their primary challenges and ensure alignment on expected outcomes.
• Establish and track success metrics using business and flow metrics, creating feedback loops for ongoing enhancement.
• Contribute to the technical strategy of the team by assessing tools, documenting best practices, and developing reusable components.

Requirements

• Strong technical skills with a passion for both established and emerging technologies.
• Proven ability to build comprehensive solutions, write clean and maintainable code, and troubleshoot effectively.
• Proficiency in prompt engineering, covering system prompts, context management, multi-turn conversations, and systematic evaluation.
• Knowledge of model selection, cost-performance trade-offs, and architectural decisions such as RAG versus larger context windows.
• Familiarity with agentic architecture patterns, tool utilization, multi-agent systems, human-in-the-loop designs, guardrails, and reliability frameworks.
• Hands-on experience with LLM ecosystems, including models from Anthropic, OpenAI, and various open-source options.
• Strong focus on AI safety and risk management, designing and implementing effective guardrails to mitigate misuse and unintended outcomes.
• Apply systems thinking and diagnostic rigor to complex processes, identifying constraints and root causes before suggesting solutions.
• Familiarity with enterprise business systems such as CRM (Salesforce), marketing automation (Marketo), support platforms (Zendesk), and integration tools (Workato).
• Broad functional knowledge to effectively engage with stakeholders across different domains.
• Demonstrated history of taking ownership of complex projects from start to finish, achieving measurable results independently.
• Possess a product-oriented mindset, capable of defining MVPs, prioritizing tasks, and delivering iteratively with a focus on user experience and business impact.
• Proficiency in at least one modern scripting language (Python, JavaScript/TypeScript, or similar) and experience with REST APIs, GraphQL, and integration patterns.

Nice to have

• Familiarity with the GitLab platform and CI/CD workflows.
• Background in consulting, solutions engineering, or roles that involve direct customer interaction.
• Knowledge of value stream mapping, flow metrics, or the Theory of Constraints.
• Experience with low-code/no-code orchestration tools such as n8n, Make, or Workato.
• Previous work experience in a startup or rapidly growing company environment.
• Experience mentoring or leading technical projects involving junior engineers.

Skills & tools

• Python, JavaScript/TypeScript
• REST APIs, GraphQL
• Prompt Engineering
• LLM Ecosystem (Anthropic, OpenAI, open-source)
• Agentic Architectures
• CRM (Salesforce), Marketing Automation (Marketo), Support Platforms (Zendesk)
• Orchestration Tools (Workato)

Practical notes

• This position is open to candidates based in the United States.
• Sales roles may qualify for additional incentive compensation.
• GitLab provides a comprehensive benefits package, flexible paid time off, and equity options.

About the company

GitLab is a complete DevSecOps platform delivered as a single application. Founded by Sid Sijbrandij and Dmitriy Zaporozhets in 2011, GitLab enables concurrent DevOps to make the software lifecycle faster. The company went public on NASDAQ in October 2021 and operates as an all-remote organization with team members in over 60 countries.