Full-Stack AI Engineer, SMAI

About the role

Micron is hiring a Full-Stack AI Engineer for its Fab 10A site to join the company's AI and smart manufacturing transformation. You will design, develop, deploy and support AI-powered applications that improve manufacturing operations across Micron's global fabs and assembly/test sites, working with data scientists, software engineers and manufacturing stakeholders.

Key responsibilities

• Design and build end-to-end AI solutions: data ingestion pipelines, feature engineering, model training and inference, APIs, web applications and observability.
• Develop responsive front-end apps with React, Angular or Streamlit, backed by Python/FastAPI services, with strong type safety and test coverage.
• Support ML/AI models for structured and unstructured data, and analytics/AI solutions for manufacturing decisions.
• Integrate LLMs, agentic AI, robotics platforms, AMRs, tool automation, control systems and the Micron MES ecosystem.
• Build containerized apps with Docker and deploy them via Kubernetes or OpenShift.
• Contribute to CI/CD pipelines (e.g. GitHub Actions) and support monitoring, drift detection, model evaluation and feedback loops.
• Apply responsible AI practices: input validation, prompt-injection prevention, PII/IP protection, model governance and audit logging.
• Optimize performance, reliability, scalability and cost, and support testing, documentation and maintenance.

Required profile

• Bachelor's or Master's degree in Computer Science, Software Engineering, Data Science or a related field; equivalent industry experience accepted.
• 2+ years building and shipping production web or AI applications end to end.
• Hands-on experience with at least one cloud platform (AWS, Azure or GCP).
• Strong analytical, problem-solving and communication skills, ability to learn quickly, and digital fluency with AI tools.

Required skills

• Python and modern JavaScript/TypeScript
• SQL and relational databases
• Docker, Kubernetes/OpenShift and CI/CD practices
• Working knowledge of GenAI: prompt engineering, RAG, LLM integration, agentic AI, model evaluation and responsible AI

Preferred: semiconductor manufacturing, industrial automation or smart manufacturing experience; MLOps, MES, Industrial IoT or equipment automation exposure.