The role involves architecting AI infrastructure for Intelligent Academic Operations, including developing orchestration pipelines and integration frameworks. Responsibilities include building reusable AI services, enabling developers through tooling and documentation, and implementing workflows for data and model management. Full-stack engineering skills are essential, using Node.js and Vue for backend APIs and frontends. The position emphasizes collaboration with engineers to adopt AI best practices, debug issues, and ensure platform consistency. Proven experience in AI/ML system development, orchestration tools, and database management is required, as well as a focus on scalability and maintainability in system design.
Join Coursedog's Platform team to architect and deliver the AI infrastructure powering Intelligent Academic Operations. You'll design orchestration pipelines and AI integration frameworks.
This role focuses on building and maintaining reusable AI services and orchestration pipelines to support cross-team AI initiatives, enhancing the overall productivity of engineering teams.
Implementing robust workflows for data ingestion, model training, evaluation, deployment, and monitoring at scale is critical to achieving successful AI projects throughout various product lines.
Collaboration and mentorship with product pod engineers are key responsibilities, ensuring best practices for AI adoption and supporting debugging and promoting platform consistency across teams.
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