AI-Enabled Full Stack Developer 全端工程師

Apply here: https://micron.wd1.myworkdayjobs.com/zh-TW/External/job/Taichung---AATT-Taiwan/AI-Enabled-Full-Stack-Developer---Experienced_JR103711

An AI Full Stack Engineer builds modern applications using AI as a first class capability—both as part of the development workflow but also designing, architecting, and delivering AI capabilities across the Micron enterprise.

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.

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:

o Task automation
o Decision support and summarization
o 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:

o Structured context sharing between models, tools, and agents
o Tool and capability exposure to LLM based agents
o 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:

o Reliability and resiliency
o Latency and performance
o Security, permissions, and data boundaries
o 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