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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

Prepare for this role

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