The opportunity
We're part of GitLab's AI Engineering organization and own the AI-powered chat experience embedded across the GitLab platform. Chat Engine is the backend-focused team within the Duo Chat group.
What you'll do
Design and build flow components and agentic flows in the Flow Registry using: Python and LangGraph within the Duo Workflow Service. These reusable building blocks power agentic Duo Chat and, increasingly, other AI features across GitLab.
Develop, ship, and maintain backend features for GitLab Duo Chat across the: Python Duo Workflow Service and the GitLab Rails monolith in a secure, well-tested, and performant way.
Integrate new generative AI models, providers, tools, and multi-agent: orchestration patterns into Duo Chat to expand its capabilities and improve answer quality.
Design, implement, and review GraphQL and Representational State Transfer: (REST) application programming interfaces (APIs) and related monolith logic, including chat entry points, permissions, and foundational-flow registration. Keep contracts with frontend clients and host systems reliable and clear.
Improve debugging, observability, and test coverage using pytest, RSpec, and: related frameworks; track and improve latency, error rates, and test coverage so AI-powered chat workflows stay reliable at scale.
Collaborate with Product, User Experience (UX), frontend, and AI specialists: to refine requirements and deliver high-quality improvements through iteration.
What they're looking for
- Document standards, patterns, and learnings with other engineers, raising the: bar for safe AI integration and evidence-driven engineering.
- Participate in Tier 2 on-call rotations to troubleshoot production issues,: contribute to root cause analysis, and strengthen resiliency.
