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Jobs/Backend Engineer Role/Staff Backend (Python) Engineer, AI Engineering:Duo Chat
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Staff Backend (Python) Engineer, AI Engineering:Duo Chat

GitLabRemote - Canada+ Equity4d ago
RemoteStaffNAArtificial IntelligenceBackend EngineerPythonRESTGraphQLPostgreSQLSQLRubyRuby on RailsMentoringDocumentationTalent AcquisitionRSpec

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Requirements

• Production experience building and operating backend services in Python, including background jobs, APIs, and data models • Ability to define and evolve technical architecture by weighing trade-offs, selecting patterns and tools, and setting a clear technical direction for others to follow • Experience setting and driving a technical roadmap in partnership with product and engineering stakeholders • Proficiency designing and maintaining REST and/or GraphQL APIs with attention to scalability, maintainability, and backward compatibility • Hands-on experience integrating large language models into applications, including prompt design and building features powered by generative AI • Strong SQL skills and experience working with relational databases such as PostgreSQL, including efficient queries and data modeling • Experience mentoring engineers through code review, architectural guidance, and shared standards, and communicating complex technical decisions in a clear, async-first way • Comfort contributing in a mature codebase across Python and Ruby on Rails, with openness to learning and applying transferable skills from related technologies or domains • The Duo Chat team sits within GitLab's AI Engineering organization and is responsible for building and evolving GitLab Duo Chat, the AI-powered chat experience embedded across the GitLab DevSecOps platform. You'll work with a small, cross-functional group of backend, frontend, and AI specialists who collaborate asynchronously across time zones, using GitLab issues, merge requests, and documentation as the primary way of working. The team focuses on integrating and scaling generative AI capabilities (including providers like Google Vertex AI), improving reliability and performance, and strengthening debugging, observability, and testing workflows so customers can safely use AI to plan, write, review, and secure their code across GitLab. • How GitLab will support you • Benefits to support your health, finances, and well-being • Flexible Paid Time Off • Team Member Resource Groups • Equity Compensation & Employee Stock Purchase Plan • Growth and Development Fund • Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. • Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. • Country Hiring Guidelines:

Responsibilities

• Define the technical architecture and technical roadmap for the Duo Chat group, aligning backend execution with product direction and engineering priorities • Solve the highest-scope and most ambiguous backend problems, delivering secure, well-tested, performant solutions with minimal guidance • Integrate and extend generative AI capabilities in GitLab Duo Chat, including large language models (LLMs) and providers such as Google Vertex AI • Develop, ship, and maintain backend features across Python and Ruby on Rails services that power Duo Chat experiences across the GitLab platform • Design, implement, and review GraphQL application programming interface (API) contracts and supporting backend logic to ensure reliability, scalability, and clear frontend integrations • Improve observability, debugging workflows, and incident readiness by strengthening logging, tracing, and production troubleshooting practices • Drive code quality and long-term maintainability by setting internal standards, leading code reviews, and identifying and reducing technical debt • Mentor engineers across the team and participate in Tier 2 on-call rotations, contributing to root cause analysis and follow-up improvements to resiliency and testing (including RSpec)

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