AI-Powered Learning Systems Architect (SCORM / xAPI / LMS)

LearnTastic.com, an EdTech company transforming continuing education through AI-driven, personalized learning, is seeking an AI-Powered Learning Systems Architect / Full-Stack Engineer. This role is crucial for building the next generation of LMS technology—an AI-adaptive learning platform that dynamically serves lessons based on individual learner needs. The position is Full-time / Contract-to-Hire and is Remote within the US.

About LearnTastic

LearnTastic.com provides online continuing education for industries like childcare, healthcare, and construction. We are developing an AI-adaptive learning platform that personalizes the learning experience.

What You’ll Do

• Architect and build a modular AI-driven LMS layer to unify multiple SCORM/cmi5 courses into an adaptive experience.
• Design and implement an ingestion pipeline to parse, normalize, and catalog SCORM 1.2 / 2004 packages.
• Develop an xAPI layer (shim) to track learner activity, completion, and mastery in a central Learning Record Store (LRS).
• Integrate AI / LLM models for personalized learning paths, content recommendations, and adaptive tutoring.
• Implement a knowledge graph or skill-mapping system to link learning objects to competencies and prerequisites.
• Build dashboards and APIs for reporting learner mastery, CE credits, and engagement analytics.
• Collaborate cross-functionally with content strategists, data scientists, UX designers, and marketing.
• Advise on standards (SCORM, cmi5, LTI 1.3, xAPI) and oversee compliance and interoperability.

Required Skills & Experience

• 5+ years of experience in LMS development or e-learning systems engineering.
• Strong knowledge of SCORM 1.2/2004, cmi5, and xAPI.
• Proven experience with Learning Record Stores (LRS) such as Learning Locker, Watershed, or GrassBlade.
• Full-stack proficiency: Node.js / Python / PHP (Laravel), React/Next.js, and RESTful API development.
• Experience with AWS (S3, Lambda, RDS/Postgres, CloudFront) or equivalent cloud environments.
• Working understanding of NLP, recommender systems, or reinforcement learning concepts.
• Experience integrating or fine-tuning LLM APIs (OpenAI, Anthropic, etc.) for adaptive or chat-based tutoring.
• Familiarity with data privacy and compliance (FERPA, GDPR, HIPAA considerations).

Preferred Qualifications

• Prior work on adaptive learning platforms or competency-based education models.
• Experience with Neo4j or knowledge graph databases.
• Hands-on experience with cmi5 launch flows and LTI 1.3 integrations.
• Understanding of instructional design principles and micro-learning models.
• Open-source contributions or portfolio of previous LMS or ed-tech projects.