Staff AI Engineer
Micron Technology1 day ago
Responsibilities
- Design, build, test, deploy, operate, and support full-stack software solutions end to end.
- Contribute to platform enablement, architecture decisions, code reviews, engineering standards, and requirements analysis.
- Build custom AI agents for task automation, decision support, summarization, multi-step reasoning, and guided execution.
- Design and integrate Model Context Protocol systems to connect models, tools, agents, and capabilities.
- Integrate internal and external AI services, including LLMs, embeddings, search, and tools, through APIs.
- Develop and operate RAG-based systems and harden AI components for reliability, resiliency, latency, performance, security, permissions, data boundaries, observability, and maintainability.
- Use AI-assisted development tools for code generation, refactoring, testing, and documentation while validating and refining generated output.
- Design and run distributed systems on Kubernetes, including message-driven architectures, horizontal scaling, fault tolerance, GPU workloads, and multi-tenant workloads.
Requirements
- Strong full-stack software engineering fundamentals, including object-oriented design, clean code, testing strategies, and maintainability.
- Proven experience building and operating production-grade backend or full-stack systems with API design, service integration, and data persistence.
- Ability to design scalable architectures while balancing performance, reliability, security, and developer productivity.
- Experience with cloud-native environments, CI/CD pipelines, containerized deployments, and modern operational practices.
- Understanding of data modeling and relational and non-relational storage technologies.
- Experience owning software from design through lifecycle support and collaborating across engineering and business teams.
- Experience with C#, ASP.NET, Angular, SQL, NoSQL databases, and Kubernetes-based platforms.
- Experience designing custom AI agents beyond simple chat interfaces, including custom-agent skills.
- AI-native experience with prompt engineering, vibe coding, context-window management, and chain-of-thought design.
- Experience integrating systems through MCP or equivalent structured agent and tool interfaces, with strong prompt-design and tool-invocation skills.
- Hands-on experience with RAG-based systems and the ability to reason about hallucination risk, failure modes, permissions, and guardrails.
- Preferred: experience applying AI-enabled development practices, refining AI-generated output, building interoperable AI systems, and operationalizing AI in high-reliability environments.
- Preferred: experience designing and running distributed systems on Kubernetes, including message-driven architectures, horizontal scaling, fault tolerance, GPU workloads, and multi-tenant workloads.
Benefits
- Medical, dental, and vision plans are available in all locations.
- Income-protection programs, paid family leave, paid time off, and paid holidays are provided.
- The employer offers professional growth and wellbeing programs.
- The posting includes equal opportunity and affirmative action commitments.
Tech Stack
Categories
About Micron Technology
Micron Technology designs and manufactures memory and storage semiconductors—DRAM, NAND, NOR and SSDs—sold to device makers, cloud providers, and embedded/automotive markets. Founded in 1978 and headquartered in Boise, Idaho, it operates globally and sells under the Micron and Crucial brands as a public company (NASDAQ: MU). Its products support data center, AI, mobile, and PC systems, including high-bandwidth and multichip packages for performance- and space-constrained applications.