AI Full Stack Engineer

Micron Technology, Inc; Boise (ID); On-site; USD 100,000 - 130,000; Full time

Job summary

Micron Technology, Inc is looking for an AI Full Stack Engineer to innovate and build modern applications incorporating AI capabilities. This role involves designing, building, and operating software solutions, focusing on collaboration, architecture, and performance.

The ideal candidate has solid software engineering foundations and proven experience with production-grade systems. You'll work with cutting-edge technology in a dynamic team environment.

Qualifications

• Strong foundation in software engineering principles including clean code and testing strategies.
• Proven experience with production-grade systems and API design.
• Ability to design scalable architectures and perform thoughtful tradeoffs.

Responsibilities

• Contribute to architecture decisions and shared engineering standards.
• Design and implement full-stack software solutions.
• Collaborate to translate requirements into scalable solutions.

Skills

Full-stack software engineering fundamentals

API design

Service integration

Data persistence

Cloud-native environments

CI/CD pipelines

Containerized deployments

Modern operational practices

Experience with RAG systems

Prompt design

Tools

C#

ASP.NET

Angular

SQL

NoSQL databases

Kubernetes

Job description

AI Full Stack Engineer

Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence. We are seeking an AI Full Stack Engineer to build modern applications with AI as a first‑class capability—both in the development workflow and in the systems we ship.

Responsibilities

• Contribute to platform enablement, architecture decisions, code reviews, and shared engineering standards.
• Design, build, test, deploy, and operate full‑stack software solutions.
• Own features end‑to‑end: system design, platform implementation, testing, observability, and lifecycle support.
• Collaborate with business teams to translate requirements into scalable solutions.
• Design and implement Custom AI Agents to support workflows such as task automation, decision support and summarization, and multi‑step reasoning and tool‑driven execution.
• Apply prompt engineering and Vibe Coding prototypes, and build and integrate systems using the Model Context Protocol (MCP) to enable structured context sharing, tool and capability exposure to LLM‑based agents, and interoperability across AI components.
• Integrate applications with external and internal AI services (LLMs, embeddings, search, tools) via well‑designed APIs.
• Ensure AI components are reliable, resilient, have low latency and performance, secure with permissions and data boundaries, and observable and maintainable.
• Utilize retrieval‑augmented generation (RAG) systems.
• Use AI‑assisted tools to accelerate development (code generation, refactoring, test creation, documentation). Critically evaluate and refine AI‑generated output rather than accept it blindly.
• Apply human judgment to architecture, correctness, and long‑term maintainability.

Qualifications

• Strong foundation in full‑stack software engineering fundamentals, including object‑oriented design, clean code practices, testing strategies, and long‑term maintainability.
• Proven experience building and operating production‑grade back‑end or full‑stack systems, with API design, service integration, and data persistence.
• Ability to design and evolve scalable system architectures, making thoughtful tradeoffs across performance, reliability, security, and developer productivity.
• Experience working in cloud‑native environments, CI/CD pipelines, containerized deployments, and modern operational practices.
• Solid understanding of data modeling and storage technologies—relational and non‑relational databases—and selecting the right tool for the problem.
• Track record of owning software end‑to‑end—from design and implementation through testing, deployment, observability, and lifecycle support.
• Comfortable collaborating across engineering and business teams to translate requirements into robust, scalable solutions.
• Knowledge of modern backend frameworks (e.g., C#, ASP.NET), front‑end frameworks (e.g., Angular), RESTful APIs, SQL and NoSQL databases, and Kubernetes‑based container platforms.
• Experience designing and implementing Custom AI agents beyond simple chat interfaces, managing prompt engineering, Vibe Coding, context window management, and chain‑of‑thought design.
• Experience integrating systems using Model Context Protocol (MCP) or equivalent structured agent/tool interfaces.
• Strong understanding of prompt design and tool invocation, and ability to reason about hallucination risk, failure modes, permissions, and guardrails in AI‑enabled systems.
• Hands‑on experience integrating RAG‑based systems.

Equal Opportunity Employer

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.