AI Engineer

Micron’s Industrial and Physical AI team is transforming semiconductor manufacturing by applying AI, automation, and intelligent operations across the production lifecycle. As an early-career Full-Stack AI Engineer in Boise,  (onsite), you’ll help design, develop, and deploy AI-powered applications that support Micron’s Autonomous Operations initiatives, working across AI models, data pipelines, APIs, web interfaces, cloud infrastructure, and manufacturing system integrations.

• Design, develop, and support end-to-end AI applications
  , including data pipelines, feature engineering, model inference, APIs, user interfaces, and monitoring
  .
• Build responsive front-end applications using React
  , Angular
  , or Streamlit
  , and develop backend services with Python and FastAPI
  .
• Integrate Generative AI capabilities, including LLMs and agentic workflows
  , into manufacturing and operational applications.
• Collaborate on integrations across robotics platforms
  , autonomous mobile robots (AMRs), automation systems, and manufacturing execution systems (MES).
• Deploy and manage containerized applications using Docker
  , Kubernetes
  , Open Shift
  , and CI/CD pipelines such as Git Hub Actions
  .
• Implement monitoring and quality practices including evaluation
  , drift detection
  , and feedback mechanisms for production reliability and scalability.
• Apply Responsible AI and software engineering standards, including security
  , audit logging
  , model governance
  , and performance optimization
  .

• Bachelor’s degree in Computer Science, Software Engineering, Data Science, or a related technical field, or equivalent practical experience.
• 2+ years developing and deploying production software applications, AI solutions, or related technologies.
• Proficiency in Python and modern JavaScript/Type Script .
• Experience with SQL and relational database technologies.
• Hands-on experience with at least one major cloud platform:
  AWS
  , Azure
  , or GCP
  .
• Experience using Docker
  , Kubernetes
  , and CI/CD pipelines to deploy and manage applications.
• Working knowledge of Generative AI concepts including prompt engineering
  , RAG
  , function/tool calling
  , agentic workflows
  , and AI model evaluation practices.

React
, Angular
, Streamlit
, Python
, FastAPI
, LLMs
, Docker
, Kubernetes
, Open Shift
, Git Hub Actions
, Java Script ,
Type Script ,
SQL
, AWS
, Azure
, GCP
, RAG
.

• Medical, dental and vision plans
• Benefit programs to help protect income if unable to work due to illness or injury
• Paid family leave
• Robust paid time-off program and paid holidays

AI Alert: Candidates are encouraged to use AI tools to enhance their resume and/or application materials; all information provided must be accurate and reflect the candidate’s true skills and experiences. Misuse of AI to fabricate or misrepresent qualifications will result in immediate disqualification.