Kinfra智能检索算法研究(北上深)
Core
Research and deploy cutting-edge large model application algorithms, focusing on RAG, Agentic Search, GraphRAG, and LLM wiki to enhance complex cross-modal retrieval accuracy and efficiency.
Role type
Senior IC machine-learning engineer (large model applications)
Builds
Production ML models for complex cross-modal retrieval and autonomous agent systems
Domain
Artificial Intelligence / Large Language Models / Information Retrieval
Deliverable
production ML models
Required skills
Python, PyTorch, RAG architecture optimization, vector database tuning, Agent workflow design, graph computing, multi-modal embedding, reranking models
Preferred skills
Long-term memory management, multi-step reasoning, autonomous planning
Technologies
RAG, Agentic Search, GraphRAG, LLM wiki, Python, PyTorch
Responsibilities
Research and implement advanced algorithms for RAG, Agentic Search, GraphRAG, and LLM wiki; Develop and optimize multi-modal embedding and reranker models; Design and build Agent systems with long-term memory and autonomous planning; Track academic and industrial advancements in LLMs and information retrieval.