- 西屯區 407, 台灣 台灣
Corning Hiring! Full Time AI - LLM Engineer in 407, 台灣 - Ricebowl
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Date: Jul 7, 2026
Location: Taichung, TW, 407
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Company: Corning
Job Summary
Join the Digital Transformation Team to design, build, and maintain production-grade AI Agent systems that drive operational efficiency across Corning Taiwan's manufacturing plants. You will work alongside our existing AI Agent Engineer to scale the platform's agent ecosystem — evolving from individual agents toward an intelligent, autonomous multi-agent framework capable of auto-suggestion, self-reporting, and knowledge-driven decision support.
Key Responsibilities
Design and develop LLM-powered AI Agents using LangChain / LangGraph, including multi-agent architectures (Supervisor, Plan-Execute-Reflect loop, Sub- agent orchestration)
Build and maintain RAG (Retrieval-Augmented Generation) pipelines forknowledge agents — document ingestion, vector search, and context management
Develop Text-to-SQL capabilities with domain-specific schema understanding and query validation logic
Engineer robust agent workflows with Pydantic structured output, idempotency design, and artifact-based data pipelines
Maintain and improve accuracy of 7+ deployed production agents; triage edge cases and prompt failures
Collaborate with process engineers and plant operations to translate domain knowledge into agent skills and tools
Build agent evaluation frameworks: QA test cases, output quality monitoring, and continuous improvement loops
Support the evolution of agent architecture from current Supervisor-Tool pattern toward Deep Agent design
Experiences/Education
BS/MS in Computer Science, Information Engineering, or related field
3-5 years of software or AI/ML development experience (strong project portfolio from new graduates welcome)
Proficient in Python; experience with LLM application development
Familiar with at least one LLM / Agent framework (LangChain, LlamaIndex, AutoGen, or equivalent)
Understanding of RAG concepts: chunking, embedding, vector stores (FAISS, Chroma, etc.)
Experience with SQL and relational databases • Comfortable working with ambiguous, real-world manufacturing data
Preferred Qualifications:
Experience with LangGraph, multi-agent orchestration, or Plan-Execute-Reflect patterns
Familiarity with Pydantic for structured output and schema validation
Experience deploying AI applications in production environments
Knowledge of manufacturing processes or MES systems is a strong plus
Good English proficiency in reading and writing for technical documentation
a.dialogApplyBtn { display: none; }
Date: Jul 7, 2026
Location: Taichung, TW, 407
#job-location.job-location-inline { display: inline; }
Company: Corning
Job Summary
Join the Digital Transformation Team to design, build, and maintain production-grade AI Agent systems that drive operational efficiency across Corning Taiwan's manufacturing plants. You will work alongside our existing AI Agent Engineer to scale the platform's agent ecosystem — evolving from individual agents toward an intelligent, autonomous multi-agent framework capable of auto-suggestion, self-reporting, and knowledge-driven decision support.
Key Responsibilities
Design and develop LLM-powered AI Agents using LangChain / LangGraph, including multi-agent architectures (Supervisor, Plan-Execute-Reflect loop, Sub- agent orchestration)
Build and maintain RAG (Retrieval-Augmented Generation) pipelines forknowledge agents — document ingestion, vector search, and context management
Develop Text-to-SQL capabilities with domain-specific schema understanding and query validation logic
Engineer robust agent workflows with Pydantic structured output, idempotency design, and artifact-based data pipelines
Maintain and improve accuracy of 7+ deployed production agents; triage edge cases and prompt failures
Collaborate with process engineers and plant operations to translate domain knowledge into agent skills and tools
Build agent evaluation frameworks: QA test cases, output quality monitoring, and continuous improvement loops
Support the evolution of agent architecture from current Supervisor-Tool pattern toward Deep Agent design
Experiences/Education
BS/MS in Computer Science, Information Engineering, or related field
3-5 years of software or AI/ML development experience (strong project portfolio from new graduates welcome)
Proficient in Python; experience with LLM application development
Familiar with at least one LLM / Agent framework (LangChain, LlamaIndex, AutoGen, or equivalent)
Understanding of RAG concepts: chunking, embedding, vector stores (FAISS, Chroma, etc.)
Experience with SQL and relational databases • Comfortable working with ambiguous, real-world manufacturing data
Preferred Qualifications:
Experience with LangGraph, multi-agent orchestration, or Plan-Execute-Reflect patterns
Familiarity with Pydantic for structured output and schema validation
Experience deploying AI applications in production environments
Knowledge of manufacturing processes or MES systems is a strong plus
Good English proficiency in reading and writing for technical documentation
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