AI Full Stack Engineer for Production AI Systems

Micron Technology, Inc.; Boise (ID); On-site; USD 140,000 - 210,000; Full time

Benefits offered by this job

Medical/Dental/Vision plans

Paid time off

Paid holidays

Paid family leave

Job summary

Micron Technology, Inc. is seeking an experienced AI Full Stack Engineer to build modern applications where AI is a first‑class capability—integrating AI agents, MCP, and scalable software practices to accelerate development and production systems.

The role focuses on designing and implementing Custom AI Agents, leveraging MCP for structured context sharing, and embedding AI components into development workflows and delivered applications.

Qualifications

• Proven experience building production-grade backend or full-stack systems.

Responsibilities

• Contribute to platform enablement, architecture decisions, code reviews, and standards; design, build, test, deploy, and operate full stack solutions end-to-end.
• Build and implement Custom AI Agents to support workflows like task automation, decision support, summarization, multi-step reasoning, and guided execution.
• Integrate systems using the Model Context Protocol (MCP) to enable structured context sharing between models, tools, and agents.
• Expose AI services via well-designed APIs and harden AI components for 24x7 production manufacturing systems with observability, reliability and security.
• Leverage AI-assisted tools to accelerate development, review AI outputs, and apply human judgment to architecture and quality.
• Perform requirements analysis, write code, support testing, deployment, maintenance, and follow coding standards and CI/CD processes.

Skills

Full stack fundamentals

API design

Cloud-native

CI/CD pipelines

Data modeling

End-to-end ownership

Tools

C#

ASP.NET

Angular

RESTful APIs

SQL/NoSQL

Kubernetes

MCP

Vibe Coding

Job description

Micron Technology, Inc. is seeking an experienced AI Full Stack Engineer to build modern applications where AI is a first‑class capability—integrating AI agents, MCP, and scalable software practices to accelerate development and production systems.

The role focuses on designing and implementing Custom AI Agents, leveraging MCP for structured context sharing, and embedding AI components into development workflows and delivered applications.