Key Facts

Remote From:

Internships

Entry-level / graduate

English

Hard Skills

Generative Artificial Intelligence Machine Learning Large Language Modeling Tool Management Software Development Software Prototyping Software Maintenance Solution Architecture Deployment Project Laboratory Experimentation Full Stack Development Cross-Functional Collaboration Business Communication Stakeholder Communications

Other Skills

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Adaptability
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Communication
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Learning Agility

HealthStream

About HealthStream

HealthStream (NASDAQ: HSTM) is dedicated to improving patient outcomes through the development of healthcare organizations' greatest asset: their people. Our unified suite of solutions is contracted by, collectively, approximately 4.8 million healthcare employees in the U.S. for workforce development, training & learning management, talent management, credentialing, privileging, provider enrollment, performance assessment, and managing simulation-based education programs. Based in Nashville, Tennessee, HealthStream has additional offices in Brentwood, Tennessee; Jericho, New York; Boulder; Colorado; San Diego, California; and Chicago, Illinois. HealthStream Facebook: https://www.facebook.com/hstmhome/HealthStream Twitter: https://twitter.com/HealthStreamHealthStream Linktree: https://linktr.ee/HealthStream

Founded: 2018

Company size: 501 - 1000

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Job description

Position Overview

As an AI Developer Intern at HealthStream, you will be at the forefront of integrating cutting-edge artificial intelligence into our products and services. You will work on high-impact projects ranging from developing AI Platform Services to building full-stack AI prototypes and internal tooling.

This role offers the opportunity to collaborate cross-functionally with product and business teams to design and implement innovative AI solutions. You will thrive in a fast-paced, dynamic environment where you can quickly learn new technologies and make a tangible impact on our AI initiatives.

Key Responsibilities

Contribute to the design, development, and maintenance of AI Platform Services.
Build and deploy full-stack AI prototypes and internal tooling to support business needs.
Collaborate closely with product, engineering, and business teams to identify opportunities and develop AI-driven solutions.
Research, experiment with, and implement emerging Generative AI, Large Language Models (LLMs), and Machine Learning technologies.
Translate complex technical concepts and communicate project progress effectively to both technical and non-technical stakeholders.