Intern - AI Agentic Systems Engineer

Micron TechnologySan Jose, CA
$50 - $56

About The Position

Micron Technology is seeking a software-centric AI Agentic Systems Engineer Intern to help design, build, and productize an internal agentic AI platform. This platform is a multi-agent system that transforms technical signals into architectural insights to guide long-term strategy. The intern will develop and harden multi-agent workflows, contribute to automated hypothesis generation and test planning, and assist in deploying the platform on managed cloud infrastructure. This is a hands-on development role requiring familiarity with modern AI tooling, agentic frameworks, LLM APIs, and cloud services. Applying Artificial Intelligence is 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

  • Design, build, and evaluate AI agents that automate multi-stage research and analysis workflows.
  • Implement agentic patterns — prompt design, tool/function calling, and orchestration — with an emphasis on reliability, traceability, and output quality.
  • Help deploy AI workloads onto managed cloud infrastructure, partnering with IT on identity, security, and cost governance.
  • Integrate structured and unstructured data sources to support retrieval, reasoning, and persistent memory across analyses.
  • Develop reusable software tools and services that extend the platform's capabilities.
  • 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
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