Backend Engineer, AI Engineering: Duo Chat at Gitlab

Backend Engineer, AI Engineering: Duo Chat

Gitlab · Remote, Canada; Remote, United StatesRemotomid

En corto

▸Desarrollas el motor backend de Chat AI de GitLab, enfocado en flujos agenticos con Python y LangGraph.
▸Trabajas en el monolito Rails de GitLab, integrando funcionalidades de Chat mediante APIs y GraphQL.
▸Destaca que usas IA como multiplicador de productividad en todo el flujo de trabajo, incluso en tu día a día.

Proficiency in English is required for collaboration across global teams.

En ~1 minuto te damos: quién te entrevista, las preguntas probables con respuestas desde tu CV, y tu CV adaptado a esta vacante. Gratis, sin tarjeta.

¿Qué piden?

✓Experiencia profesional con Python en servicios de producción.
✓Conocimiento básico o disposición para aprender Ruby on Rails.
✓Exposición o fuerte interés en modelos de lenguaje grandes (LLM), prompting y llamadas de funciones.
✓Experiencia en diseño e implementación de APIs con enfoque en rendimiento.
✓Capacidad para escribir código bien probado y mantener estándares de calidad.
✓Disposición para participar en rotaciones de soporte técnico (on-call) en días laborables, fines de semana y ocasionalmente de noche.

¿No cumplís todo? Es lo normal — tu dossier gratis te dice qué gaps tenés y cómo cubrirlos en la entrevista.

PythonLangGraphFlow RegistryDuo Workflow ServiceRuby on RailsGitLab monolithGraphQLAPIsTestingCI/CD

¿A quién escribirle en Gitlab?

Tu dossier gratis identifica a las personas que te entrevistarían — con su background, qué valoran y cómo escribirles para destacar antes de aplicar.

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 values and 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 as we build technology that transforms how the world develops software. * 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 a Backend Engineer on the Chat Engine team, you'll build the engine behind GitLab Duo Chat, the conversational AI experience for GitLab. You'll work primarily in Python to build and maintain our agentic runtime: the Flow Registry, LangGraph flows, and the Duo Workflow Service. You'll also work in the GitLab Rails monolith, where Chat connects with the product. You'll own scoped parts of the system, ship small features and improvements with minimal guidance, and collaborate with the team on larger projects. You'll work alongside senior and staff engineers who will partner with you on design and support your growth. What you’ll do • Develop secure, well-tested, and performant features and improvements for GitLab Duo Chat. • Implement and extend agentic flows in Python using LangGraph, registered through the Flow Registry and served by the Duo Workflow Service. • Integrate Chat capabilities with the GitLab Rails monolith, including its GraphQL application programming interface (API). • Write maintainable code that meets our internal standards for a high-scale environment, including tests with every merge request. • Review code within our Code Review Guidelines and respond promptly to contributions from people who don't work for GitLab. • Identify technical debt and propose and implement solutions that improve the team's efficiency. • Collaborate with Product Management, User Experience, and Frontend team members to improve product quality, security, and performance. • Participate in Tier 2 or Tier 3 weekday, weekend, and occasional night on-call rotations to help troubleshoot product operations, security operations, and urgent engineering issues. What you’ll bring • Professional experience with Python, including building and testing production services. • Working proficiency with Ruby on Rails, or a willingness to learn it, since a meaningful part of Chat lives in the GitLab monolith. • Exposure to, or strong interest in, building on top of large language models, including prompting, tool or function calling, evaluation, and the failure modes of non-deterministic systems. • Experience designing and building APIs, including diagnosing and optimizing performance issues, and comfort working with well-documented third-pa

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