About this role
<div><div style="padding:10.0px 0.0px;border:1.0px solid transparent"><div style="font-size:16.0px;word-wrap:break-word"><H2 style="font-size:1.0em;margin:0.0px">Job Summary</H2> </div><div><p>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. </p></div></div><div style="padding:10.0px 0.0px;border:1.0px solid transparent"><div style="font-size:16.0px;word-wrap:break-word"><H2 style="font-size:1.0em;margin:0.0px">Key Responsibilities</H2> </div><div><ul> <li>Design and develop LLM-powered AI Agents using LangChain / LangGraph, including multi-agent architectures (Supervisor, Plan-Execute-Reflect loop, Sub- agent orchestration)</li> <li>Build and maintain RAG (Retrieval-Augmented Generation) pipelines forknowledge agents — document ingestion, vector search, and context management</li> <li>Develop Text-to-SQL capabilities with domain-specific schema understanding and query validation logic</li> <li>Engineer robust agent workflows with Pydantic structured output, idempotency design, and artifact-based data pipelines</li> <li>Maintain and improve accuracy of 7+ deployed production agents; triage edge cases and prompt failures</li> <li>Collaborate with process engineers and plant operations to translate domain knowledge into agent skills and tools</li> <li>Build agent evaluation frameworks: QA test cases, output quality monitoring, and continuous improvement loops</li> <li>Support the evolution of agent architecture from current Supervisor-Tool pattern toward Deep Agent design </li> </ul></div></div><div style="padding:10.0px 0.0px;border:1.0px solid transparent"><div style="font-size:16.0px;word-wrap:break-word"><H2 style="font-size:1.0em;margin:0.0px">Experiences/Education </H2> </div><div><ul> <li>BS/MS in Computer Science, Information Engineering, or related field</li> <li>3-5 years of software or AI/ML development experience (strong project portfolio from new graduates welcome)</li> <li>Proficient in Python; experience with LLM application development</li> <li>Familiar with at least one LLM / Agent framework (LangChain, LlamaIndex, AutoGen, or equivalent)</li> <li>Understanding of RAG concepts: chunking, embedding, vector stores (FAISS, Chroma, etc.)</li> <li>Experience with SQL and relational databases • Comfortable working with ambiguous, real-world manufacturing data </li> </ul> <p>Preferred Qualifications:</p> <ul> <li>Experience with LangGraph, multi-agent orchestration, or Plan-Execute-Reflect patterns</li> <li>Familiarity with Pydantic for structured output and schema validation</li> <li>Experience deploying AI applications in production environments</li> <li>Knowledge of manufacturing processes or MES systems is a strong plus</li> <li>Good English proficiency in reading and writing for technical documentation </li> </ul></div></div></div>