Senior Ai Engineer, Smai

Overview

Senior AI Engineer in the EEF, SMAI team at Micron Technology, contributing 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.

What you'll do

• 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.
• 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.
• Build and execute end-to-end ML systems automating training, testing, and deploying Machine Learning models in cloud platforms.

What you'll need

• Bachelor's or Master's degree in Computer Science, Software Engineering, Data Science, or a related field; equivalent industry experience accepted.
• 5+ 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).
• Strong programming skills in Python and modern Angular/TypeScript.
• Data architecture, encompassing data structures and schemas, along with strong SQL writing and comprehension skills.
• 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.
• Machine learning frameworks (TensorFlow, PyTorch, scikit-learn, etc.).
• Prediction (regression) and classification algorithms and familiarity with deep learning, reinforcement learning and generative AI.
• Strong analytical and problem-solving skills.
• Effective communication and collaboration skills.
• Ability to learn quickly and adapt in a fast-paced environment.

Nice to have

• 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.
• Experience in building AI Agents.

Details

• Location: Hyderabad - Phoenix Aquila, India.