Micron Technology Logo

Micron Technology

Staff AI Engineer (Taoyuan)

Reposted Yesterday
Be an Early Applicant
In-Office
Taoyuan City
Senior level
In-Office
Taoyuan City
Senior level
Develop and operate production-grade AI agents for automation, decision support, summarization, and human-in-the-loop workflows. Build Micron’s MCP and enterprise tool layer, ground agents in authoritative manufacturing knowledge, and establish evaluation, security, observability, governance, and delivery practices. Deliver full-stack solutions using C#, ASP.NET, C++, SQL, Angular, REST APIs, Docker, Kubernetes, and CI/CD. Define engineering standards, lead architecture and code reviews, mentor engineers, and support 24x7 production operations.
The summary above was generated by AI
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.
Responsibilities
  • Develop, build, and operate production-grade AI agents supporting task automation, decision support, summarization, and human-in-the-loop execution, including the orchestration governing planning, tool use, multi-step state, failure recovery, and escalation to a person.
  • Build and maintain the Model Context Protocol (MCP) and enterprise tool layer that exposes Micron's manufacturing systems and enterprise data to agents as well-scoped tools, resources, and prompts, owning tool contracts, schema and version management, and the reviews that keep every exposed capability auditable.
  • Ground agents in authoritative, versioned proven experience, working with the manufacturing and engineering experts who own the operational rules to translate them into structured knowledge that agents can reason over reliably as the domain evolves.
  • Establish the evaluation, security, observability, and delivery practices required to operate non-deterministic systems in a 24x7 environment: golden datasets and regression testing; tracing, failure-mode review, and production monitoring; prompt-injection defense, permission and data-boundary enforcement, and runtime guardrails; and cost and latency budgets with progressive rollout.
  • Deliver enterprise full-stack solutions end to end, spanning C# / ASP.NET and C++ services, RESTful APIs, SQL data models, and Angular front ends on containerized Kubernetes platforms with CI/CD.
  • Hold AI components to the same delivery and operational discipline as the MES service stack, from testing and deployment through lifecycle support.
  • Define engineering standards and reference implementations, lead architecture and code reviews, mentor engineers on agent and system design, and shape how AI-assisted development and AI-generated output are applied and reviewed within the team.

Minimum Qualifications
  • Bachelor's degree in Computer Science, Software Engineering, or a related technical field, or equivalent professional experience.
  • 8+ years of professional software engineering, including ownership of enterprise systems running in production.
  • Strong backend depth in C# / ASP.NET or C++, with SQL schema design, query performance, and transactional integrity.
  • Proven experience delivering end-to-end solutions, from RESTful API design and enterprise system integration through deployment with Docker, Kubernetes, and CI/CD.
  • Practical front-end development experience with Angular (preferred), React, Vue, or a comparable modern framework.
  • Solid command of software design patterns and clean layered architecture, including separation of concerns, dependency inversion, and testable seams.
  • Track record of production ownership in environments where failure carries operational consequence, such as manufacturing, MES/MOM systems, logistics, industrial automation, financial transactions, healthcare, ERP, or workflow platforms.
  • Experience taking complete AI agent systems from design into production operation, including agent planning, tool contracts, multi-step workflows, state management, and grounding in authoritative data.
  • Hands-on experience keeping agents dependable in production: measuring quality, diagnosing failures and hallucinations, defending against prompt injection, enforcing permission boundaries, and ensuring idempotency for side-effecting operations.
  • Demonstrated technical influence beyond your own code, such as engineering standards or architecture adopted by others, or engineers you have mentored.
  • Ability to learn complex operational domains quickly and work effectively with the people who define them.

Preferred Qualifications
  • Hands-on MCP (Model Context Protocol) experience, including authoring servers and designing tool, resource, and prompt contracts with attention to version compatibility, permissions, and auditability.
  • Experience coordinating multiple specialized agents, including routing and delegation between agents, state handoff across agent boundaries, long-term memory, and escalation paths to human operators.
  • Advanced LLMOps practice, including LLM-as-judge evaluation, systematic prompt and model version management, and model selection and routing tradeoffs across a portfolio of agents.
  • Knowledge and retrieval engineering, including ontology and schema design for operational domains, chunking and indexing strategy, RAG pipeline architecture, and retrieval quality evaluation.
  • Experience establishing Responsible AI, model governance, audit logging, and security review practices for production AI systems.
  • Prior work building internal AI platforms, MCP server catalogs, agent skill libraries, or plugin ecosystems consumed by other engineering teams.
  • Familiarity with modernizing legacy systems and applying AI to accelerate that work.

About Micron Technology, Inc.
We are an industry leader in innovative memory and storage solutions transforming how the world uses information to enrich life for all . With a relentless focus on our customers, technology leadership, and manufacturing and operational excellence, Micron delivers a rich portfolio of high-performance DRAM, NAND, and NOR memory and storage products through our Micron® and Crucial® brands. Every day, the innovations that our people create fuel the data economy, enabling advances in artificial intelligence and 5G applications that unleash opportunities - from the data center to the intelligent edge and across the client and mobile user experience.
To learn more, please visit micron.com/careers
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.
To request assistance with the application process and/or for reasonable accommodations, please contact at [email protected] .
Micron Prohibits the use of child labor and complies with all applicable laws, rules, regulations, and other international and industry labor standards.
Micron does not charge candidates any recruitment fees or unlawfully collect any other payment from candidates as consideration for their employment with Micron.
AI alert: Candidates are encouraged to use AI tools to enhance their resume and/or application materials. However, all information provided must be accurate and reflect the candidate's true skills and experiences. Misuse of AI to fabricate or misrepresent qualifications will result in immediate disqualification.
Fraud alert: Micron advises job seekers to be cautious of unsolicited job offers and to verify the authenticity of any communication claiming to be from Micron by checking the official Micron careers website in the About Micron Technology, Inc.

Micron Technology Singapore, Singapore, SGP Office

1 Woodlands Ind Park D St 1, Singapore, Singapore, 738799

Micron Technology Singapore, Singapore, SGP Office

1 N Coast Dr, Singapore , Singapore, Singapore, 757432

Similar Jobs at Micron Technology

Yesterday
In-Office
Mid level
Mid level
Artificial Intelligence • Hardware • Information Technology • Machine Learning
Drive yield improvement programs by identifying opportunities, implementing process controls and qualifications, managing defect analysis and libraries, characterizing process responses and margins, and collaborating with integration and production teams to reduce scrap and excursions.
Top Skills: Ai ToolsStatistical Process Control (Spc)
2 Days Ago
In-Office
Entry level
Entry level
Artificial Intelligence • Hardware • Information Technology • Machine Learning
Designs and supports SAP MM, WM/EWM, inventory, procurement, warehouse, and logistics solutions. Partners with stakeholders on requirements, process harmonization, S/4HANA transformation, system integration, warehouse automation, project delivery, production support, and continuous improvement. Integrates SAP with WMS, WCS, 3PL, manufacturing, logistics, and automation platforms while exploring AI and intelligent automation opportunities.
Top Skills: 3Pl PlatformsAgvAmrAPIsAsrsBarcode SystemsEdiEvent-Driven ArchitecturesGenerative AiIdocsMachine LearningMaterial Handling EquipmentMesMicrosoft 365 CopilotMicrosoft CopilotMiddlewareRfcsRfidSap EccSap EwmSap JouleSap MmSap S/4HanaSap WmVlmWcsWeb ServicesWesWms
3 Days Ago
In-Office
Entry level
Entry level
Artificial Intelligence • Hardware • Information Technology • Machine Learning
Design, develop, deploy, and support AI-enabled full-stack applications for enterprise and manufacturing operations. Responsibilities include building AI agents, MCP integrations, LLM and RAG solutions, backend services, APIs, databases, cloud-native systems, and CI/CD pipelines. The role owns solutions across architecture, testing, observability, deployment, security, and operational support, including participation in a rotating 24x7 on-call schedule.
Top Skills: AngularAsp.NetC#Ci/CdCloud-Native PlatformsContainerized DeploymentsEmbeddingsEnterprise SearchKubernetesLarge Language ModelsModel Context ProtocolNosql DatabasesRest ApisRetrieval-Augmented GenerationSQL

What you need to know about the Singapore Tech Scene

The digital revolution has driven a constant demand for tech professionals across industries like software development, data analytics and cybersecurity. In Singapore, one of the largest cities in Southeast Asia, the demand for tech talent is so high that the government continues to invest millions into programs designed to develop a talent pipeline directly from universities while also scaling efforts in pre-employment training and mid-career upskilling to expand and elevate its workforce.

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account