AI Engineering Intern: SMAI TD - AI, LLMs & Cloud

1000 Micron Technology, Inc.; Boise (ID); Vor Ort; USD 25.000 - 39.000; Vollzeit

Benefits dieser Stelle

Paid internship

Mentorship

Health benefits

Zusammenfassung

Micron Technology, Inc. is seeking an AI Engineering Intern to design, develop, and support AI-enabled software solutions.

You will work on full stack applications, AI agents, LLM integrations, and modern software systems while gaining hands-on experience with production-grade AI technologies and cloud-native architectures. Responsibilities include building AI capabilities, collaborating with cross-functional teams, and improving software development practices.

Qualifikationen

• Pursuing Bachelor's or Master's degree in a technical field with graduation date Sept 2027 or later.
• Strong fundamentals in data structures, algorithms and OOP.
• Experience with Python, C#, JavaScript/TypeScript, or Java.

Aufgaben

• Design, develop, test, and support AI-enabled software applications using modern programming languages, web technologies, databases, APIs, and cloud-based architectures.
• Build and integrate AI capabilities such as LLMs, AI agents, retrieval systems, and automation into enterprise apps.
• Collaborate with engineers, product owners, and stakeholders to translate requirements into scalable solutions.
• Utilize AI-assisted development tools and CI/CD practices to improve quality and delivery.
• Research, evaluate, prototype emerging AI technologies and contribute to documentation and testing.

Kenntnisse

Python

C#

JavaScript

TypeScript

Java

AI tools

Ausbildung

Bachelor's or Master's in CS/SE/CE/Data Science/AI

Tools

Git

REST APIs

Cloud platforms

CI/CD

Jobbeschreibung

Micron Technology, Inc. is seeking an AI Engineering Intern to design, develop, and support AI-enabled software solutions.

You will work on full stack applications, AI agents, LLM integrations, and modern software systems while gaining hands-on experience with production-grade AI technologies and cloud-native architectures. Responsibilities include building AI capabilities, collaborating with cross-functional teams, and improving software development practices.