AI工程师-Agent Memory & RAG 方向（武汉）
Tasks
- Build retrieval pipeline index recall ranking
- Compute ranking relevance metrics
- Construct offline and online evaluation metrics
- Design memory indexing structures
- Explore graph RAG with knowledge graphs
- Fine tune embedding models for business scenarios
- Implement cross encoder or LLM reranking
- Optimize agent long term memory representations
- Optimize multi route recall strategies
- Track and apply generative agents research
Perks/Benefits
- N/A
Skills/Tech-stack
Algorithms | BERT | Chroma | Cross-Encoder | Data Structures | Deep learning | Embedding Models | Faiss | GPT | Graph RAG | Hybrid retrieval | Information Retrieval | Knowledge graphs | LLM | Langchain | Language Processing | Llamaindex | Milvus | Natural Language | Natural Language Processing | PyTorch | Python | RAG | Reranking | TensorFlow | Transformer | Vector Search
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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