AI Engineer
Micron Technology17 days ago
Singapore, SingaporeSenior
Responsibilities
- Design, develop, test, deploy, and support AI-powered products, applications, agents, and intelligent workflow solutions.
- Build autonomous, business-context-aware multi-agent systems with orchestration, memory, tool integration, reasoning workflows, and human-in-the-loop capabilities.
- Develop RAG, semantic search, document intelligence, conversational search, and enterprise knowledge retrieval solutions.
- Integrate AI agents with enterprise platforms, APIs, databases, business applications, data sources, and external services.
- Create reusable AI frameworks, services, and components that enable scalable adoption across the People Organization.
- Deploy and operate self-hosted open-source LLMs and AI solutions in Kubernetes-based production environments.
- Implement monitoring, observability, testing, evaluation, security, privacy, compliance, and responsible AI practices.
- Apply HR domain knowledge to recruiting, onboarding, learning, employee services, talent management, workforce planning, and people analytics.
Requirements
- Bachelor’s degree in Computer Science, Artificial Intelligence, Software Engineering, or a related technical discipline.
- Hands-on experience delivering production software applications using Python-based backend technologies and modern software engineering practices.
- Experience designing, developing, and deploying enterprise-grade generative AI or LLM solutions and owning the full software development lifecycle.
- Advanced Python experience building scalable backend services and APIs with FastAPI or equivalent frameworks.
- Experience with LLMs, prompt engineering, model integration, AI application development, RAG, vector databases, embeddings, semantic search, and knowledge retrieval.
- Production experience with LangChain, LangGraph, multi-agent architectures, agent orchestration, tool calling, and human-in-the-loop systems.
- Experience designing and implementing MCP servers, clients or hosts, tool registration, runtime tool discovery, and agent integrations.
- Experience building cloud-native, distributed, microservices-based applications and integrating enterprise APIs, databases, business applications, and external services.
- Experience deploying open-source LLMs in Kubernetes using KServe, vLLM, or equivalent model-serving platforms.
- Experience deploying AI solutions with Kubernetes, Docker, Helm, GitOps, Argo CD, and production CI/CD pipelines.
- Experience with LLMOps or MLOps, model serving, inference optimization, AI platform operations, distributed systems, asynchronous processing, workflow orchestration, event-driven architectures, and message queues.
- Preferred qualifications include open-source foundation model operations, KServe, vLLM, Hugging Face, PyTorch, Temporal, RabbitMQ, Neo4j, vector databases, enterprise document intelligence, AI platforms, AWS Certified Developer Associate, or CKAD.
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.