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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Backend Engineer, AI Engineering: AI Coding - **Company:** Gitlab's Ai Engineering - **Location:** UK (Remote available) - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Python (Programming Language), Machine Learning, Ruby, System Availability, Large Language Models, Gitlab, AI Platforms, Production Code, 3-tier Architectures, Automation Anywhere, Devsecops - **Published:** July 14, 2026 - **Apply:** https://www.workingnomads.com/job/go/1727208/ ## About the Role * Deep experience with Ruby and Rails, comfortable working within a large, established monolith and shipping production code effectively. * Proven track record building products that interact with large language models, not training or building machine learning models yourself, but with hands-on experience integrating large language models into real, user-facing tools. * Proven track record designing and operating systems built for large scale, with a focus on high availability and throughput in production environments. * Hands-on experience with agentic systems and development, including building workflows that let AI agents take autonomous action. * Demonstrated ability to make progress in evolving problem spaces and learn new AI capabilities quickly as the underlying technology shifts fast and this team ships while it learns. * Strong written communication skills for working asynchronously in a remote, globally distributed team. * Additional helpful experience includes Python, since other parts of GitLab's AI platform are built in it, and using GitLab as a product. ## Description * Design and build the trigger system that links GitLab events, including code pushes, merge request and issue changes, CI/CD results, and deployments, and third-party events from tools like Jira, Jenkins, and Slack to the AI-powered Duo Flows that act on them. * Contribute to the broader event platform, the core infrastructure that many of GitLab's AI features rely on to know when and how to run. * Architect for high availability and throughput, since this part of the system sits at the center of automated AI workflows across GitLab and needs to reliably process events at scale. * Work within GitLab's Rails monolith, where much of the event and trigger system lives, while staying open to other languages used elsewhere in the platform. * Influence product and architecture direction by proposing iterative solutions to complex technical problems across a multi-service environment. * Collaborate closely with your teammates, product manager, and designer to shape what the trigger system supports next, likely starting with an additional trigger type. * Partner cross-departmentally with other Duo Agent Platform teams to make sure triggers and events integrate cleanly with the broader agent ecosystem GitLab is building. * Participate in Tier 2 and Tier 3 on-call rotations to troubleshoot production, security, and urgent engineering issues in a globally distributed environment. ## Related Videos - [The AI-Ready Stack: Rethinking the Engineering Org of the Future](https://www.wearedevelopers.com/videos/1706-the-ai-ready-stack-rethinking-the-engineering-org-of-the-future) - [DevSecOps: Injecting Security into Mobile CI/CD Pipelines](https://www.wearedevelopers.com/videos/273-devsecops-injecting-security-into-mobile-ci-cd-pipelines) - [WeAreDevelopers LIVE - Modern DevOps for IoT Devices and More](https://www.wearedevelopers.com/videos/1805-wearedevelopers-live-modern-devops-for-iot-devices-and-more) - [Coffee with Developers: David Heinemeier Hansson](https://www.wearedevelopers.com/videos/875-coffee-with-developers-david-heinemeier-hansson) - [Enabling automated 1-click customer deployments with built-in quality and security](https://www.wearedevelopers.com/videos/83-enabling-automated-1-click-customer-deployments-with-built-in-quality-and-security) - [What Production Knows: Closing the Loop Between AI Agents and the Systems They Build](https://www.wearedevelopers.com/videos/100277-what-production-knows-closing-the-loop-between-ai-agents-and-the-systems-they-build) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [What is Agentic Programming and Why Should Developers Care?](https://www.wearedevelopers.com/magazine/625-what-is-agentic-programming-and-why-should-developers-care) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [What is Software Engineering in the Age of AI?](https://www.wearedevelopers.com/magazine/640-what-is-software-engineering-in-the-age-of-ai) - [Dev Digest 137 - AI'm not sure about this](https://www.wearedevelopers.com/magazine/485-dev-digest-137-ai-m-not-sure-about-this) - [Dev Digest 121 - AI goes offline](https://www.wearedevelopers.com/magazine/456-dev-digest-121-ai-goes-offline)