Full-Stack AI Engineer

Micron • Boise, ID

20h

About The Position

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. About our Team: Micron’s Industrial and Physical AI team is transforming semiconductor manufacturing through the application of AI, automation, and intelligent operations. Our team develops and deploys innovative solutions across Micron’s global manufacturing network, enabling engineers and operators to make faster, smarter, and more data-driven decisions. Position Overview: We are seeking an early-career Full-Stack AI Engineer to help design, develop, and deploy AI-powered applications that support Micron’s Autonomous Operations initiatives. This role offers the opportunity to work across the full technology stack, including AI models, data pipelines, APIs, web applications, cloud infrastructure, and manufacturing system integrations, to deliver impactful solutions used across global manufacturing operations.

Requirements

• Bachelor’s degree in Computer Science, Software Engineering, Data Science, or a related technical field, or equivalent practical experience.
• 2+ years of experience developing and deploying production software applications, AI solutions, or related technologies.
• Proficiency in Python and modern JavaScript/TypeScript development.
• Experience working 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.

Nice To Haves

• Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
• Experience building full-stack web applications using React, Angular, Streamlit, FastAPI, or similar modern frameworks.
• Familiarity with MLOps or LLMOps practices, including model monitoring, deployment, evaluation, and lifecycle management.
• Experience integrating AI solutions with robotics, automation systems, IoT devices, or manufacturing applications.
• Knowledge of container orchestration, cloud-native architectures, and GPU-accelerated AI workloads.
• Understanding of Responsible AI, cybersecurity, data privacy, and model governance principles.
• Prior experience in semiconductor manufacturing, advanced manufacturing, industrial automation, or other regulated high-reliability environments.

Responsibilities

• Design, develop, and support end-to-end AI applications, including data pipelines, feature engineering, model inference, APIs, user interfaces, and monitoring capabilities.
• Build responsive front-end applications using React, Angular, or Streamlit and develop backend services using Python and FastAPI.
• Integrate Generative AI technologies, including LLMs and agentic workflows, into manufacturing applications and operational processes.
• Collaborate on the integration of robotics platforms, autonomous mobile robots (AMRs), automation systems, and manufacturing execution systems (MES).
• Deploy and manage containerized applications using Docker, Kubernetes, OpenShift, and CI/CD pipelines such as GitHub Actions.
• Implement monitoring, evaluation, drift detection, and feedback mechanisms to ensure reliable and scalable AI solutions in production environments.
• Apply Responsible AI and software engineering standards, including security, audit logging, model governance, and performance optimization.

Benefits

• Choice of medical, dental and vision plans
• Benefit programs that help protect your income if you are unable to work due to illness or injury
• Paid family leave
• Robust paid time-off program
• Paid holidays

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level