M
Staff AI Engineering
Micron Technology
2 hours ago
Full-time
On-site
Boise, Idaho, United States
AI-Centric Full Stack Software Engineer
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 team builds and enables scalable, cloud-native software platforms that power critical manufacturing and business operations. We use modern full stack engineering practices and AI-driven technologies to create innovative solutions that improve automation, decision making, and operational efficiency. Position Overview We are seeking an AI-Centric Full Stack Software Engineer to design, build, and support modern software solutions with a strong focus on AI-enabled applications and intelligent automation. This role goes beyond simply using AI coding assistants. You will have strong understanding of Prompt Engineering, Vibe Coding, Rework Rate Reduction and leverage Custom Agents, and integrations built around the Model Context Protocol (MCP). You will apply strong software engineering fundamentals to assemble, integrate, and operationalize AI capabilities into real production systems being accountable for Full-Stack solutions. The goal of this role is to significantly shorten development and feedback cycles by automating routine engineering work, augmenting human decision-making, and embedding intelligence directly into our development workflows and the applications we deliver! Responsibilities 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 capabilities. Integrate AI services, large language models (LLMs), embeddings, search technologies, and external tools through secure and scalable APIs. Build and maintain MCP-based integrations to enable structured communication between AI models, tools, and business systems. Collaborate with engineering, product, and business stakeholders to translate requirements into reliable, maintainable, and scalable solutions. Apply 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 with attention to reliability and resiliency, latency and performance, security, permissions, and data boundaries, and observability and maintainability Minimum Qualifications Bachelor's degree in Computer Science, Software Engineering, Information Systems, or a related technical field, with 5+ years of full-stack or backend software development experience. Strong expertise in API design, service integration, data persistence, and building production-grade applications. Hands-on experience with cloud-native architectures, CI/CD pipelines, containerization, and Kubernetes-based deployments. Proven experience working with relational and NoSQL databases, including data modeling and storage architecture design. Demonstrated success designing and deploying AI-enabled solutions, including AI agents, RAG systems, prompt engineering, AI tool integration, and evaluation of AI reliability, security, and failure modes. Preferred Qualifications 7+ years of experience building and scaling enterprise-grade distributed applications in cloud environments. Strong expertise in modern development technologies, including C#, ASP.NET, Angular, SQL, NoSQL, Kubernetes, and cloud-native architectures. Proven experience developing AI-powered solutions, including MCP integrations, AI agent skills, tool invocation frameworks, and multi-agent workflows. Deep understanding of prompt engineering, context management, AI workflow optimization, and enabling interoperability between AI models, tools, and agents. Demonstrated success architecting highly available, secure, and resilient systems while leading architecture reviews, code quality initiatives, and engineering best practices. Micron is proud to be an equal opportunity workplace and is an affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, citizenship status, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state, or local laws.
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 team builds and enables scalable, cloud-native software platforms that power critical manufacturing and business operations. We use modern full stack engineering practices and AI-driven technologies to create innovative solutions that improve automation, decision making, and operational efficiency. Position Overview We are seeking an AI-Centric Full Stack Software Engineer to design, build, and support modern software solutions with a strong focus on AI-enabled applications and intelligent automation. This role goes beyond simply using AI coding assistants. You will have strong understanding of Prompt Engineering, Vibe Coding, Rework Rate Reduction and leverage Custom Agents, and integrations built around the Model Context Protocol (MCP). You will apply strong software engineering fundamentals to assemble, integrate, and operationalize AI capabilities into real production systems being accountable for Full-Stack solutions. The goal of this role is to significantly shorten development and feedback cycles by automating routine engineering work, augmenting human decision-making, and embedding intelligence directly into our development workflows and the applications we deliver! Responsibilities 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 capabilities. Integrate AI services, large language models (LLMs), embeddings, search technologies, and external tools through secure and scalable APIs. Build and maintain MCP-based integrations to enable structured communication between AI models, tools, and business systems. Collaborate with engineering, product, and business stakeholders to translate requirements into reliable, maintainable, and scalable solutions. Apply 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 with attention to reliability and resiliency, latency and performance, security, permissions, and data boundaries, and observability and maintainability Minimum Qualifications Bachelor's degree in Computer Science, Software Engineering, Information Systems, or a related technical field, with 5+ years of full-stack or backend software development experience. Strong expertise in API design, service integration, data persistence, and building production-grade applications. Hands-on experience with cloud-native architectures, CI/CD pipelines, containerization, and Kubernetes-based deployments. Proven experience working with relational and NoSQL databases, including data modeling and storage architecture design. Demonstrated success designing and deploying AI-enabled solutions, including AI agents, RAG systems, prompt engineering, AI tool integration, and evaluation of AI reliability, security, and failure modes. Preferred Qualifications 7+ years of experience building and scaling enterprise-grade distributed applications in cloud environments. Strong expertise in modern development technologies, including C#, ASP.NET, Angular, SQL, NoSQL, Kubernetes, and cloud-native architectures. Proven experience developing AI-powered solutions, including MCP integrations, AI agent skills, tool invocation frameworks, and multi-agent workflows. Deep understanding of prompt engineering, context management, AI workflow optimization, and enabling interoperability between AI models, tools, and agents. Demonstrated success architecting highly available, secure, and resilient systems while leading architecture reviews, code quality initiatives, and engineering best practices. Micron is proud to be an equal opportunity workplace and is an affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, citizenship status, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state, or local laws.