AI Full Stack Engineer Boise, Idaho, Posted

Position: AI Full Stack Engineer Boise, Idaho, United States of America Posted a day ago
## AI Full Stack Engineer Boise, Idaho, United States of America Apply Now Find out how well you match with this jobJob IDJR
102226
** Our vision is to transform how the world uses information to enrich life for
* all*.
** 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.
** AI Full Stack Engineer****(AI**‐
** Enabled & Agent**‐
** Driven Development)
**** About the role
** We are looking for a
** AI Full Stack Engineer who builds modern applications using AI as a first**‐
** class capability**—both as part of the development workflow and as part of the systems we ship.

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**.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
** What you’ll do
**** Core Full Stack Engineering:
*** 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
** AI**‐
** centric full stack development
*** Design and implement
** Custom AI Agents
** to support workflows such as:
* Task automation
* Decision support and summarization
* Multi‐step reasoning and tool‐driven execution
* Fluent in prompt engineering and Vibe Coding Prototypes
* Build and integrate systems using the
** 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
* Integrate applications with external and internal AI services (LLMs, embeddings, search, tools) via well‐designed APIs
* Harden AI components for 24x7 mission critical physical manufacturing systems with attention to:
* Reliability and resiliency
* Latency and performance
* Security, permissions, and data boundaries
* Observability and maintainability
* Utilize
** retrieval**‐
** augmented generation (RAG)
** systems
* * AI**‐
** enabled development practices
*** Use AI‐assisted tools to accelerate development (code generation, refactoring, test creation, documentation)
* Critically evaluate and refine AI‐generated output rather than accepting it blindly
* Apply human judgment to architecture, correctness, and long‐term maintainability
** What we’re looking for
**** Core full stack engineering skills
*** 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 backend or full-stack systems, including
** 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, including CI/CD pipelines, containerized deployments**, and modern operational practices.
* Solid understanding of
** data modeling and storage technologies, spanning 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…