Applied AI Engineer: Learning Intelligence & Personalization

United States Digital Space LLC; United States; On-site; USD 139,000 - 191,050; Full time

Job summary

United States Digital Space LLC is seeking an Applied AI Engineer, Learning Intelligence to own the skill and concept graph and develop ML models that infer learner capabilities. You will ship AI-driven features with explainability and collaborate with frontend engineers to ensure correct integration.

You will partner with product and content teams to validate recommendations, monitor model performance in production, and help steer the next generation of personalized learning experiences for

Qualifications

• 5+ years of experience in applied ML or data science with production recommendation or personalization systems
• Hands-on experience with knowledge graphs, graph databases, or ontology design
• Experience with LLM APIs and prompt engineering for generative features
• Hands-on history of shipping LLM-based systems to production, including large-scale deployment, evaluation frameworks, and agentic workflows
• 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
• A high degree of intellectual curiosity and the ability to find elegant, straightforward solutions
• Exceptional communication skills, with the ability to translate technical logic for varied stakeholders

Responsibilities

• Design, build, and maintain a skill and concept graph that maps relationships between skills, roles, domains, and learning content
• Develop ML models that infer learner skill levels from usage patterns, work output, assessments, and profile data (not just self-reported input)
• Build and iterate on recommendation systems that surface the next best module, suggest learning paths, and generate content dynamically
• Partner with frontend engineers to ensure AI outputs are consumed correctly, surfaced with appropriate context
• Define explainability standards for model outputs so users and stakeholders understand why a recommendation was made
• Collaborate with product and content teams to validate recommendation quality and close feedback loops
• Monitor model performance in production and own the evaluation framework for recommendation quality

Skills

Applied ML

Knowledge graphs

LLM APIs

Prompt engineering

Python

Production systems

Communication

Tools

Graph databases

Ontology design

Job description

United States Digital Space LLC is seeking an Applied AI Engineer, Learning Intelligence to own the skill and concept graph and develop ML models that infer learner capabilities. You will ship AI-driven features with explainability and collaborate with frontend engineers to ensure correct integration.

You will partner with product and content teams to validate recommendations, monitor model performance in production, and help steer the next generation of personalized learning experiences for