Job Responsibilities: Implement AI applications according to requirements, including large model calls, API development, and data processing. Build an enterprise knowledge base (data cleaning, embedding, vector retrieval). Use vector databases (Milvus/Qdrant/FAISS, etc.) to complete indexing, retrieval, and debugging. Write scripts, DAG processes, MCP tool plugins, and perform other basic engineering work. Job Requirements: Proficient in Python with basic backend development skills. Experience using at least one large model API; RAG/knowledge base experience is preferred. Familiar with either a vector library or an Agent framework. Experience in AI application implementation or a strong interest in large models; strong hands-on skills. Basic knowledge of algorithms and NLP/ML. Experience Requirements: 3+ years of experience in AI-related fields; mathematics, computer science, or related majors preferred. Has practical experience in implementing large-scale enterprise-level models.