Intern AI Engineer, Early-Career – LLM Context, Data Layer

This is a fully remote position, open to applicants in United States.

📋 Description

• Design, create, and implement AI-driven applications utilizing large language models and enterprise data systems.

• Develop effective AI solutions that enhance healthcare treatment, payment processes, and operational efficiency.

• Construct the architecture for AI agents, encompassing context layers, data retrieval systems, and governance safeguards.

• Collaborate with Data Scientists, Data Engineers, business stakeholders, research and development teams, product management, and strategic analysts.

• Convey technology-related updates and requirements to other departments and contribute to presentations for senior management.

• Provide business units with trustworthy intelligence, validated technological options, and insights into enterprise and industry trends.

• Coordinate specific tasks, assist with daily operations, and aid in the delivery of technology solutions.

• Support academic research teams, practicums, internships, and vendor proofs of concept.

• Assist with vendor evaluations and collaborations.

• Serve as a liaison with academic institutions, professional organizations, and research groups.

• Assist in Academic Corporate Engagement initiatives to cultivate research and educational talent in health technology.

• Fulfill responsibilities associated with the internship program, special projects, and other assigned tasks.

⛳️ Requirements

• Currently pursuing or have recently completed an advanced degree in healthcare, technology, or a related field (e.g., Biomedical Informatics, Computer Science), with a preference for a PhD.

• Demonstrated interest or experience in AI, healthcare technology, or informatics research.

• Strong foundational knowledge in generative AI model development, architectures, and vector databases.

• Hands-on experience with Machine Learning and Deep Learning models.

• Practical experience with cloud services (AWS/Azure), large datasets, and constructing data pipelines for ML solutions.

• Fundamentals of SQL; comfortable writing queries against structured data.

• Exposure to LLM APIs (e.g., OpenAI, Azure OpenAI, Anthropic) and familiarity with at least one orchestration framework (LangChain, LlamaIndex, or similar).

• Basic understanding of Git; comfortable with branching and code review within a team workflow.

• Experience in building or designing semantic layers, knowledge graphs, or context retrieval systems (RAG pipelines).

• Understanding of embedding models, chunking strategies, and retrieval optimization.

• Ability to evaluate data quality, duplication, and freshness.

• Experience in fetching and ingesting data from live external sources, including APIs and web sources, into structured pipelines.

• Comfortable designing schemas and storage layers, including vector storage or semantic indexing patterns.

• Capable of building and testing AI components such as embeddings, retrieval logic, and prompts.

• Ability to work collaboratively and communicate effectively with cross-functional teams.

• Must have a dedicated, secure work area.

• Must provide high-speed internet access/connectivity and maintain office setup.

• Must be able to perform duties with or without reasonable accommodation.

• Must be available to start immediately, commit to a 12-week internship, and work 40 hours per week.

🏝️ Benefits

• Nonexempt employees are eligible for overtime pay for hours worked beyond 40 hours in a week, or as required by applicable state law.

• 12-week internship opportunity.

• Flexibility to work with or without reasonable accommodation.

• Dedicated, secure workspace provided.

• High-speed internet access/connectivity and office setup and maintenance included.