GitLab: AI Engineer

Overview of GitLab and Its Mission

GitLab operates as a leading intelligent orchestration platform focused on DevSecOps. Trust is at the core of what GitLab achieves, with over 50 million registered users and more than 50% of the Fortune 100 relying on GitLab to enhance productivity, improve operational efficiencies, and manage security risks. Their vision is rooted in accelerating digital transformation to enable organizations to ship better software more rapidly and securely.

GitLab emphasizes the integration of AI as a fundamental productivity tool across teams, enabling each member to harness AI in their daily tasks to enhance innovation and effectiveness. The company's culture promotes career acceleration and continuous knowledge sharing, making it an attractive work environment that encourages collaboration and the solving of challenging problems.

Role Summary: AI Engineer

The position of AI Engineer involves contributing to GitLab's transition into an AI-first organization under the guidance of the Director of Enterprise AI. In this role, you will be a hands-on technical leader, focusing on the delivery of internal AI-powered solutions that yield a measurable impact on the business.

Key Responsibilities

1. Problem Diagnosis: Understand and map out business challenges, validating the suitability of AI solutions for specific problems. This may include the ability to discern when AI isn't the answer.

2. Ownership of AI Projects: Lead AI initiatives from start to finish, handling everything from stakeholder engagement to technical design, implementation, and continuous improvement.

3. Development and Prototyping: Create and implement AI-powered solutions quickly, prioritizing business value and execution speed.

4. Organizational Flow Improvement: Focus on enhancing workflow efficiency through AI solutions that eliminate bottlenecks and optimize processes.

5. Integration of AI Solutions: Implement AI capabilities into existing systems and workflows, utilizing APIs and orchestration tools as necessary.

6. Customer Feedback: Serve as GitLab's own customer by utilizing and showcasing its AI offerings, providing real-world insights to fuel research and development.

7. Stakeholder Engagement: Collaborate closely with various departments to define real constraints and collectively align on outcomes prior to proposing solutions.

8. Measure Outcomes: Establish metrics for success through business evaluations and data metrics, creating visible feedback loops for performance assessment.

Skills and Qualifications

Required Skills

• A genuine passion for technology, balancing foundational and cutting-edge advancements.
• Competent Coding Skills: Proficient in building end-to-end solutions independently, including writing clean, maintainable code.
• Technical Depth in AI and LLMs: Solid expertise in modern programming languages, with practical experience in various AI technologies and frameworks.
• System Thinking and Diagnostics: Capable of analyzing complex workflows to identify constraints and root causes before arriving at solutions.
• Business System Knowledge: Understanding of enterprise business systems and relevant CRM, marketing, and support platforms.
• Broad Functional Understanding: Ability to communicate effectively with diverse stakeholders and comprehend their unique needs.
• End-to-End Ownership: Proven track record in leading initiatives from discovery through delivery with a focus on measurable outcomes.
• Product Mindset: Skilled in scoping minimum viable products (MVPs), prioritizing features effectively, and considering user experience.

Preferred Qualifications

• Familiarity with GitLab's platform and CI/CD workflows.
• Background in consulting, solutions engineering, or roles that require customer engagement.
• Experience with low-code/no-code orchestration tools.
• Previous experience in startup or high-growth environments, and experience guiding junior engineers.

Team Structure and Culture

You will be part of the Enterprise Technology & AI team, which plays a vital role as the backbone of GitLab. This team drives transformation in decision-making, operational efficiency, and customer satisfaction. GitLab values individuals who embrace learning and understand that optimized AI solutions begin with comprehending the system instead of merely focusing on technology.

Operating in a fully remote and asynchronous work environment, GitLab adheres to its core values that revolve around collaboration, results, efficiency, inclusion, and transparency. These values form the foundation of GitLab's work culture and guide the team’s interactions.

Salary Information

For this role, the base salary is targeted between $108,400 and $129,600 USD for residents of the United States. This range aims to reflect the salary level based on education, experience, and skills, and it does not include bonuses or other compensations.

Conclusion

This AI Engineer position at GitLab offers a unique opportunity for individuals looking to make a significant impact in a forward-thinking, AI-focused work environment. It combines technical development with strategic problem-solving, catering to those who are innovative, collaborative, and eager to change how software is developed and utilized globally.

This job offer was originally published on weworkremotely.com