AI ML Engineer
dv01Full Time
Senior (5 to 8 years)
Key technologies and capabilities for this role
Common questions about this position
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The role involves working across multiple services and technologies including Ruby (main Rails application), Python (AI Gateway), Rust (Knowledge Graph), and TypeScript (Language Server).
GitLab has a high-performance culture driven by values and continuous knowledge exchange, embracing AI as a core productivity multiplier with all team members expected to incorporate AI into daily workflows. Every voice is valued, careers accelerate, and innovation flourishes while collaborating to solve complex problems.
Strong candidates will have experience providing technical leadership for sophisticated AI-driven systems, architecting solutions for code analysis and context to large language models, designing multi-agent AI systems, and shaping technical direction across services like Rails, Python, Rust, and TypeScript.
Unified DevOps platform for software development
GitLab offers a DevOps platform that simplifies the software development process by providing a single application for collaboration, visibility, and speed. The platform integrates various tools needed for software development, which helps teams manage their projects more efficiently without juggling multiple tools. This allows companies to concentrate on enhancing their products instead of spending too much time on builds. GitLab serves a wide range of clients, including large corporations from different industries, demonstrating its versatility. The company operates on a subscription-based model, where clients pay for access to the platform, which includes features for continuous integration and deployment. GitLab also provides free trials and regularly updates its platform to deliver ongoing value to its users. By customizing its offerings and partnering with other technology providers, GitLab aims to enhance its ecosystem and drive revenue.