AI application engineer

Job Responsibilities: -Design and develop enterprise-grade AI application systems, driving the deep integration of AI into manufacturing

and business operations. -Build systems-such as intelligent quality inspection, predictive maintenance, knowledge Q&A, and intelligent

production scheduling-leveraging Large Language Models (LLMs), machine learning, and computer vision technologies. -Oversee AI model deployment, system performance optimization, and stability assurance; ensure system scalability

and sustainable operation; and resolve issues related to performance bottlenecks and model accuracy degradation. -Develop enterprise-level AI capability platforms, including AI agent systems, RAG knowledge bases, and centralized

data and capability platforms. -Perform model compression and performance optimization to meet specific performance and quantization requirements. -Collaborate across teams to ensure the stable implementation of model optimization solutions within products. -Engage with clients and product teams to identify new business use cases and value opportunities through

Proof-of-Concept (POC) projects and rapid experimentation. -Produce technical documentation, experiment reports, and methodological summaries to support team decision-making

and knowledge accumulation.