Intern - AI Agentic Systems Engineer

Micron • Folsom, CA

3d

About The Position

Our vision is to transform how the world uses information to enrich life for all. Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. Our Cloud Memory Business Unit is pioneering next-generation memory for datacenter and AI workloads. In this internship you will help build an AI-powered research and simulation platform — a multi-agent system that turns large volumes of external and internal technical signals into evidence-backed, simulation-validated architectural insights that guide our long-term technology and product strategy. We are seeking a software-centric AI Agentic Systems Engineer Intern to help design, build, and productize an internal agentic AI platform. You will develop and harden multi-agent workflows, contribute to an automated hypothesis-generation and test-planning capability, and help deploy the platform on managed cloud infrastructure. This is a hands-on development role for someone comfortable with modern AI tooling, agentic frameworks, large language model (LLM) APIs, and cloud services. Applying Artificial Intelligence is expected and central to this position.

Requirements

• Currently pursuing an M.S. or Ph.D. in Computer Science, Computer Engineering, Electrical Engineering, or a related field.
• Strong software engineering skills in Python; comfortable building and debugging non-trivial systems.
• Working knowledge of LLMs and agentic AI — prompt design, tool/function calling, and multi-agent or workflow frameworks (e.g., LangGraph, AutoGen, or similar).
• Familiarity with cloud services and containers (Azure preferred; AWS/GCP acceptable), REST APIs, and version control (Git).
• Good verbal and written communication and problem-solving abilities.

Nice To Haves

• Experience with cloud AI platforms, managed Kubernetes, graph/document databases, or enterprise search.
• Exposure to knowledge graphs, retrieval-augmented generation (RAG), or vector databases.
• Experience productizing research code into governed, auditable services (RBAC, CI/CD, observability).
• Interest in memory/AI systems and the datacenter/AI infrastructure landscape.

Responsibilities

• Agent development: Design, build, and evaluate AI agents that automate multi-stage research and analysis workflows.
• LLM workflows: Implement agentic patterns — prompt design, tool/function calling, and orchestration — with an emphasis on reliability, traceability, and output quality.
• Cloud deployment: Help deploy AI workloads onto managed cloud infrastructure, partnering with IT on identity, security, and cost governance.
• Data & knowledge integration: Integrate structured and unstructured data sources to support retrieval, reasoning, and persistent memory across analyses.
• Tooling: Develop reusable software tools and services that extend the platform's capabilities.
• AI integration: Incorporate AI methods across the development flow and document designs and evaluation criteria for reproducibility.

Benefits

• Choice of medical, dental and vision plans
• Benefit programs that help protect your income if you are unable to work due to illness or injury
• Paid family leave
• Robust paid time-off program
• Paid holidays

What This Job Offers

• Job Type: Full-time
• Career Level: Intern