Applied AI Engineer, Learning Intelligence

About This Role

Key ResponsibilitiesAI-extracted

• 1
  Design, build, and maintain a skill and concept graph that maps relationships between skills, roles, domains, and learning content
• 2
  Develop ML models that infer learner skill levels from usage patterns, work output, assessments, and profile data
• 3
  Build and iterate on recommendation systems that surface the next best module, suggest learning paths, and generate content dynamically
• 4
  Partner with frontend engineers to ensure AI outputs are consumed correctly, surfaced with appropriate context
• 5
  Define explainability standards for model outputs so users and stakeholders understand why a recommendation was made

RequirementsAI-extracted

• 5+ years of experience in applied ML or data science, with production recommendation or personalization systems in the background
• Hands-on experience with knowledge graphs, graph databases, or ontology design
• Experience with LLM APIs and prompt engineering for generative features
• Advanced Python proficiency and experience architecting robust, production-grade applications
• Deep familiarity with the modern AI stack, from retrieval and agent frameworks to complex prompt engineering, model evaluation, and context engineering

Perks & BenefitsAI-extracted