Principal AI Engineer

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.

• Build, train and deploy predictive machine learning models.