Application Engineer(AI application)_Intern

Participate in the development and implementation of AI applications, ensuring timely delivery and adherence to quality standards. • Write and optimize code using Python to ensure efficient program operation. • Apply deep learning techniques for data analysis and model training, enhancing the accuracy and usability of models. • Develop AI applications using frameworks such as LangChain and LlamaIndex to meet business needs. • Understand and apply Retrieval-Augmented Generation (RAG) techniques to enhance the generative capabilities of large models. • Integrate enterprise data with large language models to develop and deploy AI solutions that support digital transformation. • Write and maintain technical documentation to ensure traceability and maintainability of technical implementations. • Collaborate with team members to share technical experiences and best practices, promoting the overall technical level of the team. • Utilize prompt engineering techniques to fine-tune and optimize model performance for specific applications. • Successfully deploy applications using local vector databases combined with large language models (LLM) architecture. Participate in the development and implementation of AI applications, ensuring timely delivery and adherence to quality standards. • Write and optimize code using Python to ensure efficient program operation. • Apply deep learning techniques for data analysis and model training, enhancing the accuracy and usability of models. • Develop AI applications using frameworks such as LangChain and LlamaIndex to meet business needs. • Understand and apply Retrieval-Augmented Generation (RAG) techniques to enhance the generative capabilities of large models. • Integrate enterprise data with large language models to develop and deploy AI solutions that support digital transformation. • Write and maintain technical documentation to ensure traceability and maintainability of technical implementations. • Collaborate with team members to share technical experiences and best practices, promoting the overall technical level of the team.