Senior Backend Engineer (Python), Agent Developer: Flow Components at gitlab

Senior Backend Engineer (Python), Agent Developer: Flow Components

gitlab · RemoteRemotesenior

In short

▸Desarrollas componentes reutilizables para flujos agenticos en el backend de GitLab usando Python
▸Trabajas con LangChain, LangGraph y GraphQL en un entorno de DevSecOps
▸Destacas por integrar IA de forma responsable en productos de alto impacto

No se requiere inglés específico, pero se trabaja en un entorno internacional

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What they ask for

✓Experiencia en Python para aplicaciones en producción
✓Conocimientos en LangChain y LangGraph
✓Experiencia con APIs REST y GraphQL
✓Capacidad para trabajar con equipos multidisciplinarios
✓Enfoque en calidad, pruebas automatizadas y experiencia de usuario
✓Conocimiento de entornos de CI/CD y monolitos

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PythonLangChainLangGraphGraphQLRESTGitLab monolithRSpecDuo Workflow ServiceDuo CLIAI-powered backend integration

Who should you write to at gitlab?

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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 Senior Backend Engineer on the Flow Components functional team , you'll help build GitLab's Flow Registry, which provides reusable primitives for agentic flows built on the GitLab Duo Agent Platform. Your primary focus will be backend engineering in Python, using LangChain and LangGraph to develop secure, reliable, and scalable capabilities across the Duo Workflow Service and the GitLab monolith. You'll also work across the stack when needed, bringing familiarity with JavaScript and frontend development to support the official GitLab Duo Agent Platform client, Duo CLI, and advocate for a strong user experience. What you’ll do • Develop, ship, and maintain secure, well-tested, and performant Flow Registry features across the Duo Workflow Service and the GitLab monolith backend. • Collaborate with Product Management, User Experience, frontend, backend, and artificial intelligence specialists to refine requirements and deliver iterative product improvements. • Design, implement, and review GraphQL and REST application programming interfaces, related backend logic, and clear contracts with frontend clients. • Improve automated testing with RSpec and other frameworks to strengthen quality, reliability, and developer feedback loops. • Share standards, patterns, and lessons with other engineers to support responsible artificial intelligence integration and evidence-driven engineering. • Participate in Tier 2 on-call rotations, troubleshoot production issues, contribute to root cause analysis, and improve observability and resiliency. • Monitor the competitive landscape and help keep GitLab's Flow Registry primitives and capabilities competitive within the agentic platform market. What you’ll bring • Experience building and maintaining production Python applications with LangChain and LangGraph, including background jobs, application programming interfaces, and data models. • Experience designing and shipping artificial intelligence-powered backend features and integrations, with sound judgment about large language model limi

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