Senior Learning Systems Engineer- Salt Lake City, Utah
Core
Designing, building, and scaling AI-powered learning systems and workflows for course creation, transformation, and evaluation at WGU Academy.
Role type
Senior IC Applied AI Engineer (Learning Systems)
Builds
Scalable, personalized education experiences and AI-driven workflows for students
Domain
EdTech / Applied AI / Learning Systems
Deliverable
production ML models | product features
Required skills
Large language models (LLMs), Prompt engineering, Retrieval-Augmented Generation (RAG), Orchestration frameworks (MCP), Front-end development (HTML, CSS, JavaScript), API integrations, Systems thinking
Preferred skills
Production RAG implementation, AI orchestration/agent-based systems, LLM provider experience (Anthropic, OpenAI, Google), AI-assisted development tools, Technical strategy definition, Mentoring
Technologies
LLMs, RAG, MCP, HTML, CSS, JavaScript, GitHub Copilot, Kiro
Responsibilities
Lead design and development of AI-powered learning systems; Build and integrate AI-driven workflows; Design RAG systems; Architect reusable AI components; Partner with product owners to translate instructional designs; Standardize patterns and reduce redundancy; Mentor team members
Seniority
Senior, hands-on IC