AI-Enabled Full Stack Developer
Technology
AI-EnabledFullStackDeveloper
Neural analysis suggests this role is
optimal for Experienced candidates.
“AI-Enabled Full Stack Developer at AI-Enabled Full Stack Developer. Skills: Full Stack Engineering, AI-centric development, Custom AI Agents, Prompt Engineering. Contribute to platform enablement. Contribute to architecture decisions”
What You'll Achieve.
Significantly shorten development cycles; Significantly shorten feedback cycles; Automate routine engineering work; Augment human decision-making; Embed intelligence into development workflows; Embed intelligence into applications
Industry & Context.
Troubleshooting; Root cause analysis
What They're Looking For.
Must Have
Bachelor's degree in computer science, Fluent English communication skill
Nice to Have
Master's degree in computer science, Experience with AI coding assistants, Experience with Prompt Engineering, Experience with Vibe Coding, Experience with Rework Rate Reduction, Experience with Custom Agents, Experience with Model Context Protocol (MCP), Experience designing Custom AI agents, Experience developing skills for custom agents, AI native skills, Prompt Engineering, Vibe Coding, Context Window management, Chain of thoughts Design, Experience integrating systems using Model Context Protocol (MCP), Experience with equivalent structured agent/tool interfaces, Understanding of prompt design, Understanding of tool invocation, Ability to reason about hallucination risk, Ability to reason about failure modes, Ability to reason about permissions, Ability to reason about guardrails in AI-enabled systems, Hands-on experience integrating RAG-based systems
What You'll Do.
Contribute to platform enablement
Contribute to architecture decisions
Contribute to code reviews
Contribute to shared engineering standards
Design full stack software solutions
Build full stack software solutions
Test full stack software solutions
Deploy full stack software solutions
Operate full stack software solutions
Own features end-to-end
Platform implementation
Collaborate with business teams
Translate requirements into scalable solutions
Design Custom AI Agents
Implement Custom AI Agents
Tool-driven execution
Fluent in prompt engineering
Fluent in Vibe Coding Prototypes
Enable structured context sharing
Expose tools and capabilities
Interoperability across AI components
Integrate applications with AI services
Utilize retrieval-augmented generation (RAG) systems
Use AI-assisted tools
Accelerate development
Critically evaluate AI-generated output
Refine AI-generated output
Apply human judgment to architecture
Apply human judgment to correctness
Apply human judgment to long-term maintainability
How You'll Work.
Team & Collaboration
Collaborating across engineering teams; Collaborating across business teams
Full Job Description
**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. 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: * 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: * Str
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