Join Coursedog’s Platform team to architect and deliver the AI infrastructure powering Intelligent Academic Operations. You will design the orchestration pipelines, developer tooling, and AI integration frameworks that enable product pods across Scheduling, Curriculum, Catalog, and beyond to rapidly build and ship AI-powered capabilities.
This is a full-stack, enablement-focused role — your work won’t just ship features directly, it will multiply the velocity and impact of every engineering team.

Key Responsibilities

• AI Platform Development – Build and maintain reusable AI services, APIs, and orchestration pipelines (e.g., LangSmith, Airflow, MLFlow) to support cross-team AI initiatives.
• Developer Enablement – Provide tooling, SDKs, and documentation so product teams can easily integrate AI features into their modules without deep ML expertise.
• Orchestration & Observability – Implement robust workflows for data ingestion, model training, evaluation, deployment, and monitoring at scale.
• Full-Stack Engineering – Build backend APIs in Node.js and deliver reference frontends in Vue to demonstrate and validate platform capabilities.
• Collaboration & Mentorship – Partner with product pod engineers to guide AI adoption best practices, debug integration issues, and promote platform consistency.
• Architecture Leadership – Influence system design for scalability, performance, and maintainability across multiple product lines.

Skills Knowledge and Expertise

Required Skills & Experience

• Proven track record in AI/ML systems development and deployment at scale.
• Hands-on experience with orchestration and lifecycle tools (LangSmith, Airflow, MLFlow, Kubeflow, or similar).
• Strong backend expertise in Node.js and REST API design, JavaScript and TypeScript
• Experience building modern SPAs with Vue 3.
• Solid understanding of relational and document databases (PostgreSQL, MongoDB).
• Ability to design frameworks and tooling that abstract complexity and empower other teams

Nice-to-Haves

• Familiarity with higher education domain workflows (e.g., academic scheduling, curriculum management).
• Experience with observability platforms (Prometheus, Grafana, OpenTelemetry) for AI systems.
• Contributions to internal developer platforms or shared infrastructure projects.

Working at Coursedog

• AI Platform Development – Build and maintain reusable AI services, APIs, and orchestration pipelines (e.g., LangSmith, Airflow, MLFlow) to support cross-team AI initiatives.
• Developer Enablement – Provide tooling, SDKs, and documentation so product teams can easily integrate AI features into their modules without deep ML expertise.
• Orchestration & Observability – Implement robust workflows for data ingestion, model training, evaluation, deployment, and monitoring at scale.
• Full-Stack Engineering – Build backend APIs in Node.js and deliver reference frontends in Vue to demonstrate and validate platform capabilities.
• Collaboration & Mentorship – Partner with product pod engineers to guide AI adoption best practices, debug integration issues, and promote platform consistency.
• Architecture Leadership – Influence system design for scalability, performance, and maintainability across multiple product lines