AI Engineer

GitlabGitlab·Remote(Remote, Bangalore)
Software Development
SalesforceAdjust

WFA Digital Insight

The demand for AI specialists has skyrocketed, with a 25% increase in job openings in the last year alone. As companies like Gitlab embrace AI as a core productivity driver, skilled AI engineers are in high demand. With over 50 million registered users, Gitlab's commitment to innovation and digital transformation creates a compelling context for this role. Candidates should be prepared to demonstrate expertise in AI solutions, systems thinking, and business acumen, as well as a passion for driving measurable business outcomes. Before applying, it's essential to understand the company's values-driven culture and how this role contributes to its mission.

Job Description

About the Role

As an AI Engineer at Gitlab, you will play a pivotal role in shaping the company's transformation into an AI-first organization. Reporting to the Director, Enterprise AI, you will be responsible for delivering internal AI-powered solutions that drive measurable business outcomes. Your day-to-day will involve understanding the real problems that affect teams, tools, and handoffs, identifying the true constraints, and validating whether AI is the right solution before you begin development.

Building fast is crucial, but it's not enough on its own. You will 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.

Gitlab's high-performance culture is driven by its values and continuous knowledge exchange, enabling team members to reach their full potential while collaborating with industry leaders to solve complex problems. As an AI Engineer, you will be part of a dynamic team that is committed to driving innovation and digital transformation.

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.
  • 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, asking the right questions, and bridging knowledge gaps.
  • Take a hands-on approach to development, combining engineering skills with systems thinking and business understanding.
  • Embed AI solutions into key systems and workflows, focusing on Sales, Marketing, and Customer Support initially.

What We Are Looking For

  • Strong engineering skills, with expertise in AI solutions development and deployment.
  • Experience with Salesforce and Adjust, as well as other relevant tools and technologies.
  • Systems thinking and business understanding, with the ability to identify constraints and validate AI solutions.
  • Excellent communication and collaboration skills, with the ability to partner with stakeholders across functions.
  • Ability to take ownership from discovery through deployment, with a focus on practical outcomes and measurable business value.
  • Experience working in a remote, asynchronous, and values-driven environment.
  • Strong problem-solving skills, with the ability to diagnose business problems and develop effective solutions.
  • Passion for driving innovation and digital transformation, with a commitment to Gitlab's mission and values.

Nice to Have

  • Experience with Gitlab Duo Agent Platform and other modern AI platforms.
  • Knowledge of cloud-based technologies and architectures.
  • Familiarity with DevSecOps principles and practices.
  • Experience working in a high-performance culture, with a focus on continuous knowledge exchange and improvement.

Benefits and Perks

  • Competitive compensation package, with a focus on equity and long-term growth.
  • Comprehensive health and wellness benefits, including remote stipend and flexible work arrangements.
  • Generous PTO policy, with a focus on work-life balance and employee well-being.
  • Opportunities for professional growth and development, including training and education programs.
  • Collaborative and dynamic work environment, with a focus on innovation and digital transformation.
  • Access to cutting-edge technologies and tools, with the opportunity to work on complex and challenging projects.
  • Employee recognition and reward programs, with a focus on celebrating achievements and milestones.

How to Stand Out

  • Tip: Highlight your experience with Salesforce and Adjust, as well as other relevant tools and technologies, to demonstrate your expertise in AI solutions development and deployment.
  • Develop a portfolio that showcases your ability to drive business outcomes through AI-powered solutions, with a focus on practical outcomes and measurable business value.
  • Be prepared to discuss your approach to systems thinking and business understanding, with examples of how you have identified constraints and validated AI solutions in the past.
  • Show a passion for driving innovation and digital transformation, with a commitment to Gitlab's mission and values, to stand out as a candidate who is aligned with the company's culture and goals.
  • When negotiating salary, be sure to highlight your unique skills and experience, as well as your research on market rates for AI engineers in the industry.
  • Red flag: Be cautious of companies that do not prioritize diversity, equity, and inclusion, or that have a history of toxic work environments, to ensure you are joining a organization that aligns with your values and priorities.

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