Principal AI Engineer, SMAI

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Principal AI Engineer, SMAI

Micron Technology

Hyderabad - Phoenix Aquila

12+ years

1 day ago

$81.9K–89.2K/yr

Full-time

Onsite

Skills Required LLM

RAG

Agentic AI

Gen AI

Prompt Engineering

Responsible AI

model evaluation

model governance

audit logging

MLOps

Python

Angular

TypeScript

SQL

Docker

Description Micron Technology is a world leader in innovating memory and storage solutions. The Senior AI Engineer will contribute to AI-powered applications improving manufacturing operations globally.

Company: Micron Technology

Role: Senior AI Engineer, EEF, SMAI

Experience

• 12+ 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)

Qualification

• Bachelor’s or Master’s degree in Computer Science, Software Engineering, Data Science, or a related field
• Equivalent industry experience accepted

Responsibilities

• Design and build end-to-end AI solutions including data ingestion pipelines, feature engineering, model training and inference, APIs, web applications, and observability
• Develop responsive front-end applications using React, Angular, or Streamlit backed by Python/FastAPI services
• Support development and implementation of machine learning and AI models for structured and unstructured data
• Support development of analytics and AI solutions to 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 through Kubernetes or OpenShift
• Work with data platforms and modeling environments to support scalable AI application development
• Build, train and deploy predictive machine learning models

Additional Responsibilities

• Contribute to CI/CD pipelines and automated software release processes using GitHub Actions
• Support 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 to improve performance, reliability, scalability, and cost efficiency
• Support testing, debugging, technical documentation, installation, and maintenance for AI and software solutions
• Integrate AI-assisted tools and insights into daily work to improve efficiency, quality, and effectiveness while complying with standards and policies
• Contribute to a culture of continuous improvement by identifying, testing, and sharing AI-enabled enhancements
• Build and execute end-to-end ML systems automating training, testing, and deploying ML models in cloud platforms

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

More Skills Kubernetes, OpenShift, CI/CD development practices, GenAI technologies, Retrieval-Augmented Generation (RAG), LLM integration, Agentic AI concepts, Responsible AI practices, Machine learning frameworks (TensorFlow, PyTorch, scikit-learn), Prediction (regression) and classification algorithms, Deep learning, Reinforcement learning, React, FastAPI, Streamlit

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