Intern, AI Developer
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.
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.