Supports the design and implementation of AI-powered learning systems that enable scalable, high-quality learning experiences across WGU Academy. This role operates at the intersection of applied AI, front-end development, and learning systems, contributing to the translation of learning intent into functional, reusable, and efficient systems. Working under the guidance of more senior engineers, this role focuses on building foundational technical skills while contributing to the development of interactive learning components, AI-assisted workflows, and scalable course infrastructure. This position plays a supporting role in advancing AI-enabled learning experiences, helping improve speed, consistency, and quality across the learning ecosystem.
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Job Type
Full-time
Career Level
Entry Level