Full Stack AI Engineer

Micron; Boise (ID); On-site; USD 120,000 - 150,000; Full time

Benefits offered by this job

Choice of medical, dental, and vision

Paid family leave

Robust paid time-off and holidays

Job summary

Micron is seeking an AI-centric full stack software engineer to design, build, and support AI-enabled applications for critical manufacturing operations. The role emphasizes prompt engineering, custom AI agents, MCP integrations, and end-to-end ownership of production systems.

You will design, develop, test, deploy, and maintain scalable applications, integrate AI services and LLMs, and ensure reliability, security, and observability in high-stakes environments.

Qualifications

• Bachelor’s degree in CS, SE, or related field.
• 3+ years producing production-grade full stack or backend apps.
• Experience with cloud-native tech, CI/CD, containers, Kubernetes.
• Experience with relational and NoSQL databases.
• Proven AI-enabled app development, incl. custom agents and RAG.
• Experience with prompt engineering and AI tool integration.

Responsibilities

• Design, develop, test, deploy, and maintain scalable full stack apps.
• Own software solutions end-to-end, incl. design and lifecycle support.
• Develop and implement custom AI agents to automate workflows.
• Integrate AI services, LLMs, embeddings, and external tools via APIs.
• Build MCP integrations for communication between models and business systems.
• Harden AI components for 24x7 critical manufacturing systems with reliability and security.

Skills

Full stack development

API design

Cloud-native technologies

CI/CD pipelines

Kubernetes-based deployments

AI-enabled applications

Prompt engineering

RAG-based systems

Observability and reliability

Security and scalability

Education

Bachelor’s degree in Computer Science or related field

Tools

C#

ASP.NET

Angular

SQL

NoSQL

Kubernetes

CI/CD

Containerization

MCP

LLMs

Job description

Micron is seeking an AI-centric full stack software engineer to design, build, and support AI-enabled applications and intelligent automation for critical manufacturing operations. The role focuses on prompt engineering, custom AI agents, and MCP-based integrations, with end-to-end ownership of production systems.

What you’ll do

• Design, develop, test, deploy, and maintain scalable full stack applications and platform services.
• Own software solutions end-to-end, including system design, architecture, implementation, testing, observability, deployment, and lifecycle support.
• Develop and implement custom AI agents to support workflow automation, decision support, summarization, and multi-step reasoning.
• Integrate AI services, large language models (LLMs), embeddings, search technologies, and external tools via secure and scalable APIs.
• Build and maintain Model Context Protocol (MCP) integrations for structured communication between AI models, tools, and business systems.
• Collaborate with engineering, product, and business stakeholders to convert requirements into reliable, maintainable, and scalable solutions.
• Use AI-assisted development practices while maintaining 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, permissions, data boundaries, and observability and maintainability.

Core requirements

• Bachelor’s degree in Computer Science, Software Engineering, Information Systems, or a related technical field.
• 3+ years of experience developing production-grade full stack or backend applications, including API design, service integration, and data persistence.
• Hands-on experience with cloud-native technologies, CI/CD pipelines, containerization, and Kubernetes-based deployments.
• Experience with both relational and NoSQL databases, including data modeling and storage architecture design.
• Proven experience designing, developing, 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 you’ll work with

• 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

Compensation and benefits

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

Role focus and team context

Micron’s team builds and enables scalable, cloud-native software platforms that support critical manufacturing and business operations. You will design, build, and support modern software solutions with a strong emphasis on AI-enabled applications and intelligent automation, bringing software engineering fundamentals to operationalize AI capabilities in production environments. The goal is to shorten development and feedback cycles by automating routine engineering work, augmenting human decision-making, and embedding intelligence into development workflows and the applications delivered.

Preferred qualifications

• 7+ years of experience building enterprise-scale distributed applications in cloud environments.
• Experience building and integrating Model Context Protocol (MCP) for structured context sharing between models, tools, and agents, tool and capability exposure to LLM-based agents, and 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). Minimum experience: 3 years.