Intern AI Engineer, Early-Career – LLM Context & Data Layer (Healthcare)

Overview We are seeking an Intern-AI Engineer to help design, build, and deploy AI-powered applications that leverage large language models (LLMs) and enterprise data systems. This role focuses on developing practical AI solutions that improve healthcare treatment, payment, and operations through intelligent systems and natural language interfaces. You will work closely with Data Scientists, Data Engineers, and business stakeholders to build the underlying architecture for AI agents - including context layers, data retrieval systems, and governance guardrails - that operate reliably in regulated, data-intensive healthcare environments. This is an excellent opportunity for an early-career engineer passionate about AI technologies and building real-world applications that scale. We are currently looking for interns who can start immediately, 12-week internship, and work 40 hours per week. Responsibilities Technical Expertise SQL fundamentals - comfortable writing queries against structured data, not just describing them Exposure to LLM APIs (e.g., OpenAI, Azure OpenAI, Anthropic) and familiarity with one orchestration framework (LangChain, LlamaIndex, or similar) Git basics - comfortable with branching and reviewing code as part of a team workflow Experience building or designing semantic layers, knowledge graphs, or context retrieval systems (RAG pipelines); understands embedding models, chunking strategies, and retrieval optimization Ability to reason about data quality, dupl