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.