Full Stack AI Engineer

Micron is hiring an AI-centric full stack software engineer to design, build, and support AI-enabled applications and intelligent automation for critical manufacturing operations.

Responsibilities

• Design, develop, test, deploy, and maintain scalable full stack applications and platform services.
• Own software solutions end-to-end: system design, architecture, implementation, testing, observability, deployment, and lifecycle support.
• Develop and implement custom AI agents for workflow automation, decision support, summarization, and multi-step reasoning capabilities.
• Integrate AI services, LLMs, embeddings, search technologies, and external tools using secure and scalable APIs.
• Build and maintain Model Context Protocol (MCP) integrations to enable structured communication between AI models, tools, and business systems.
• Partner with engineering, product, and business stakeholders to translate requirements into reliable, maintainable, and scalable solutions.
• Use AI-assisted development practices while ensuring code quality, architectural integrity, security, reliability, and long-term maintainability.
• Harden AI components for 24x7 critical physical manufacturing systems, focusing on reliability and resiliency, latency and performance, security and permissions, data boundaries, and observability and maintainability.

Requirements

• Bachelor’s degree in Computer Science, Software Engineering, Information Systems, or a related technical field.
• 3+ years developing production-grade full stack or backend software applications, including API design, service integration, and data persistence.
• Hands-on experience with cloud-native technologies, CI/CD pipelines, containerization, and Kubernetes deployments.
• Experience with both relational and NoSQL databases, including data modeling and storage architecture design.
• Proven experience building and deploying AI-enabled applications, including custom AI agents and RAG-based systems.
• Demonstrated experience with prompt engineering and Vibe Coding Prototypes, AI tool integration, and evaluating AI system reliability, security, and failure modes.

Technologies

• C#, ASP.NET, Angular
• SQL, NoSQL
• Kubernetes
• CI/CD pipelines, containerization
• Large language models (LLMs), embeddings
• Search technologies
• Model Context Protocol (MCP)
• RAG-based systems

Benefits

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

Position Overview

• Design, build, and support modern software solutions focused on AI-enabled applications and intelligent automation.
• Apply strong expertise in prompt engineering and Vibe Coding, including Rework Rate Reduction and custom agents.
• Work with integrations built around Model Context Protocol (MCP).
• Operationalize AI capabilities into real production systems with accountability for full-stack delivery.
• Shorten development and feedback cycles by automating routine engineering work, augmenting human decision-making, and embedding intelligence into development workflows and delivered applications.

Preferred Qualifications

• 7+ years experience building enterprise-scale distributed applications in cloud environments.
• Experience building and integrating Model Context Protocol (MCP) to enable structured context sharing between models, tools, and agents; tool and capability exposure to LLM-based agents; interoperability across AI components without hard-coded integrations.
• Proficiency with C#, ASP.NET, Angular, SQL, NoSQL, and Kubernetes.
• Experience developing AI agent skills, tool invocation frameworks, and multi-agent workflow solutions.
• Strong understanding of prompt engineering, context window management, chain-of-thought design, and AI workflow optimization.
• Experience architecting highly available, critical systems with focus on performance, resiliency, observability, and security.
• Track record of leading architecture discussions, conducting code reviews, and establishing engineering standards and guidelines.

Location: Boise, ID (onsite)

Education: Bachelor’s degree in Computer Science, Software Engineering, Information Systems, or a related technical field

Minimum Experience: 3+ years