Backend Engineer (Ruby), AI Engineering: Duo Agent Platform Tools

Rozgoo; United States; Remote; USD 110,000 - 160,000; Full time

Job summary

GitLab is seeking an Intermediate Backend Engineer on the Agent Tools team. You’ll help design and build systems that let AI agents interact with the full software delivery lifecycle, spanning MCP server and future tech.

You’ll work with engineers across AI, backend, and product to create scalable backends, APIs, and robust tests, while shaping architecture at the intersection of platform and AI strategy.

Qualifications

• Experience building production apps with Rails, including background jobs, APIs, and data models.
• Experience with scalable REST/GraphQL APIs and AI tooling is a plus.
• Familiarity with asynchronous teamwork in distributed environments.

Responsibilities

• Develop, ship, and maintain features for Agent Tools backend.
• Collaborate with product, UX, frontend, backend, and AI specialists.
• Design and review GraphQL and REST APIs with clear contracts.
• Improve automated testing and observability, including RSpec.
• Participate in on-call rotations and incident resolution.
• Share standards to uplift AI integration across the team.

Skills

Ruby on Rails

Python backends

Vue frontends

REST APIs

GraphQL APIs

PostgreSQL

Tools

GitLab monolith backend

RSpec

Job description

GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster.

The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our valuesand continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us

*Fortune 500 is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab.

An overview of this role

As an Intermediate Backend Engineer on the GitLab Agent Tools team, you’ll go beyond using AI tools and help define how we design, build systems that allow AI agents to interact with the full software delivery lifecycle, way beyond pure code creation. This encompasses GitLab’s MCP server as well as future technologies that are aimed at providing AI agents ways to interact with GitLab.

In this role you’ll contribute to the development of complex features and help establish architectural patterns for how GitLab exposes its rich functionality to AI agents. You’ll collaborate closely with engineers across the Agent Foundations stage and adjacent teams within AI engineering. This is a high-visibility area of the product at the intersection of GitLab's core platform and its AI strategy.

What you’ll do

• Develop, ship, and maintain features and improvements for Agentic Tools across the GitLab monolith backend in a secure, well-tested, and performant way.
• Collaborate with Product Management, UX, frontend, backend, and AI specialists to refine requirements and deliver high-quality, iterative product enhancements.
• Design, implement, and review GraphQL, REST APIs and related backend logic, ensuring reliability, scalability, and clear contracts with frontend clients.
• Improve and extend automated testing, including RSpec and other frameworks, to strengthen quality, reliability, and developer feedback loops.
• Share standards, patterns, and learnings with other engineers, raising the bar for responsible AI integration and evidence-driven engineering across the team.
• Participate in Tier 2 on-call rotations to troubleshoot production issues, contribute to root cause analysis, and enhance observability and resiliency

What you’ll bring

• Experience building and maintaining production applications with Ruby on Rails, including work with background jobs, APIs, and data models.
• Comfortable working across the stack in a mature codebase. Familiarity with Python backends and/or Vue frontends a plus.
• Proficiency in designing or extending REST and/or GraphQL APIs with attention to scalability, maintainability, and backward compatibility.
• Strong practical experience working with AI tooling on a daily basis. Experience designing and shipping AI-powered backend features and integrations is a plus
• SQL skills and familiarity with relational databases such as PostgreSQL, including writing efficient queries and understanding data modeling.
• Openness to learning, collaborating in an async-first, distributed team, and applying transferable skills f