Intern - AI Engineer

Responsibilities

• Technical Expertise:
  • SQL fundamentals — comfortable writing queries against structured data
  • Exposure to LLM APIs (e.g., OpenAI, Azure OpenAI, Anthropic) and at least tutorial-level familiarity with one orchestration framework (LangChain, LlamaIndex, or similar)
  • Git basics — comfortable with branching and reviewing code as part of a team workflow
  • Ability to reason about data quality, duplication, and freshness
  • Fetch and ingest data from live external sources (APIs and web sources) into a structured pipeline — handling formats, rate limits, and failures
  • Design and build the schema and storage layer your pipeline writes to, in collaboration with data engineering
  • Build and test AI components — embeddings, retrieval logic, prompts — using established patterns and tools
• Communication & Collaboration:
  • Communicates technology-related updates and requirements to other departments and contributes to presentations for senior management
  • Collaborates with research and development teams, product management, and strategic analysts to support ongoing projects
• Leadership & Management:
  • Partners with Business Units to provide reliable intelligence, validated technology options, and insights on enterprise and industry trends
  • Supports technology project teams by coordinating specific tasks, assisting with day-to-day operations, and contributing to the successful delivery of solutions
  • Affords support to academic research teams, practicums, internships, and vendor Proof of Concept (POC) activities
• External Relationships & Partnerships:
  • Supports vendor evaluations and contributes to collaborations with vendors
  • Assists as a liaison between academic institutions, professional organizations, and research groups as needed
• Other Support:
  • Supports Academic Corporate Engagement efforts to develop research and educational talent, with a focus on enhancing health tech knowledge and skills

Qualifications

• Currently pursuing or recently completed an advanced degree in healthcare, technology, or a related field (e.g., Biomedical Informatics, Computer Science) with preference of 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 working with Machine Learning and Deep Learning models
• Experience with LLM/RAG models and LLM fine-tuning is a plus
• Hands-on experience working with cloud services (AWS/Azure), large data sets, and building data pipelines for ML solutions
• Experience with vector embeddings and databases is a plus
• Ability to work collaboratively and communicate effectively with cross-functional teams

Pay

Base compensation ranges from $32.00 to $40.00 per hour.

Schedule

12 week internship, and work 40 hours per week.