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

• Supports vendor evaluations and contributes to collaborations with vendors.
• Assists as a liaison between academic institutions, professional organizations, and research groups as needed.

• Support the Academic Corporate Engagement efforts to develop research and educational talent, with a focus on enhancing health tech knowledge and skills.
• Complete all responsibilities and goals outlined in the internship program.
• Complete all special projects and other duties as assigned.
• Must be able to perform duties with or without reasonable accommodation.

This job description is intended to describe the general nature and level of work being performed in this internship.

It is not an exhaustive list of responsibilities, duties, and skills required and does not constitute an employment agreement.

This job description is subject to change as Cotiviti’s needs and requirements of the internship evolve.

• 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.

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.

with vector embeddings and databases is a plus.

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

• Communicating with others to exchange information.
• Assessing the accuracy, neatness, and thoroughness of the work assigned.

• Remaining in a stationary position, often standing or sitting for prolonged periods.
• Repeating motions that may include the wrists, hands, and/or fingers.
• Must be able to provide a dedicated, secure work area.
• Must be able to provide high-speed internet access/connectivity and office setup and maintenance.
• No adverse environmental conditions are expected.

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

Specific offers are determined by various factors, such as experience, education, skills, certifications, and other business needs.

Nonexempt employees are eligible to receive overtime pay for hours worked in excess of 40 hours in a given week, or as otherwise required by applicable state law.

Date of posting: 6/18/2026

Applications are assessed on a rolling basis.

We anticipate that the application window will close on 7/18/2026, but the application window may change depending on the volume of applications received or close immediately if a qualified candidate is selected.

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