We are seeking an experienced AI engineer with expertise in developing and maintaining AI and machine learning infrastructure in the field of chip design and hardware engineering. The ideal candidate will have at least 5 years of experience in developing and maintaining AI or machine learning infrastructure, especially in large language model (LLM) applications. The candidate should have a strong background in computer science, proficiency in Python and web development, and familiarity with LLM-related technologies such as langchain, vector databases, and prompt engineering. The successful candidate should have experience in data management, including data cleaning, conversion, and secure storage, as well as strong problem-solving skills and the ability to work effectively in a team. Additional qualifications include a deep understanding of machine learning, deep learning, and natural language processing concepts, as well as experience with microservices, distributed computing, and cloud infrastructure. Familiarity with React or Vue.js for frontend development, as well as SQL and NoSQL data platforms, is an added advantage. The candidate should be able to optimize infrastructure for performance, scalability, and reliability, while ensuring data security and efficiency. Finally, the candidate should be able to keep up-to-date with the latest trends in AI and machine learning and apply this knowledge to improve the LLM infrastructure.