Full-Stack AI Engineer, IPAI, SMAI

Job Summary

Join Micron Technology at a defining moment in our AI and smart manufacturing transformation. As a Full-Stack AI Engineer, you will contribute to the design, development, deployment, and support of AI-powered applications that improve manufacturing operations across Micron's global network of fabs and assembly/test sites. You will work closely with data scientists, software engineers, and manufacturing stakeholders to build scalable AI solutions, web applications, APIs, and automation tools that enable data-driven decision-making and autonomous operations.

Main Responsibilities

• Design and build end-to-end AI solutions, including data ingestion pipelines, feature engineering, model training and inference, APIs, web applications, and observability capabilities.

• Develop responsive front-end applications using React, Angular, or Streamlit, backed by Python/FastAPI services, with strong type-safe development and test coverage practices.

• Support development and implementation of machine learning and AI models for structured and unstructured data.

• Support development of analytics and AI solutions that improve manufacturing and operational decision-making.

• Support integration of LLMs and agentic AI capabilities into manufacturing and engineering workflows.

• Support integration of robotics platforms, AMRs, tool automation systems, control systems, and the Micron MES ecosystem.

• Develop and maintain containerized applications using Docker and deploy solutions through Kubernetes or OpenShift environments.

• Work with data platforms and modeling environments to support scalable AI application development.

Other Responsibilities

• Contribute to CI/CD pipelines and automated software release processes using tools such as GitHub Actions, while supporting monitoring, drift detection, model evaluation, and feedback loop implementation for production AI applications.

• Apply Responsible AI practices, including input validation, prompt-injection prevention, PII/IP protection, model governance, and audit logging.

• Support application and model optimization efforts to improve performance, reliability, scalability, and cost efficiency.

• Support testing, debugging, technical documentation, installation, and maintenance activities for AI and software solutions.

• Integrate AI-assisted tools and insights into daily work to improve efficiency, quality, and effectiveness while complying with organizational standards, legal requirements, and governance policies.

• Contribute to a culture of continuous improvement by identifying, testing, and sharing AI-enabled enhancements within one's scope of work.

Minimum Required Qualifications / Experience

• 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.

• Experience developing and deploying web applications, APIs, or data-driven solutions.

• Hands-on experience with at least one cloud platform (AWS, Azure, or GCP).

Must Have Technical Skills

• Strong programming skills in Python and modern JavaScript/TypeScript.

• Strong SQL proficiency and experience working with relational databases.

• Experience with Docker, Kubernetes/OpenShift, and CI/CD development practices.

• Working knowledge of GenAI technologies, including prompt engineering, Retrieval-Augmented Generation (RAG), LLM integration, agentic AI concepts, model evaluation, and Responsible AI practices.

• Ability to apply AI literacy and digital fluency to use AI-enabled tools responsibly and effectively for research, analysis, content creation, problem-solving, operational tasks, automation, and achieving business outcomes.

Must Have Soft Skills

• Strong analytical and problem-solving skills.

• Effective communication and collaboration skills.

• Ability to learn quickly and adapt in a fast-paced environment.

Highly Desirable / Preferred Skills or Experience

• Experience in semiconductor manufacturing, industrial automation, or smart manufacturing environments.

• Exposure to MLOps, machine learning model deployment, or enterprise AI applications.

• Familiarity with MES, Industrial IoT, or equipment automation systems.

Embody Micron's Core Values

• People – Respect, develop, and empower others.

• Innovation – Drive continuous improvement and breakthrough thinking.

• Tenacity – Show grit and determination.

• Collaboration – Build trust and foster teamwork.

• Customer Focus – Deliver excellence and value.

• Speed – Act with purpose and set the pace.