AI工程师-Agent Memory & RAG 方向（成都）
CNY 240K-480K (estimate) Senior-level Full Time
Tasks
- Build vector and sparse indexing
- Compute precision recall MRR NDCG metrics
- Construct offline and online evaluation systems
- Design memory indexing structures
- Design reranking models for retrieved memories
- Explore graph RAG with knowledge graphs
- Fine tune embedding models for business scenarios
- Implement semantic keyword time decayed recall
- Iterate memory module using data driven analysis
- Optimize agent long term memory representations
- Optimize multi route retrieval strategies
- Research generative agents and MemGPT
Perks/Benefits
- N/A
Skills/Tech-stack
BERT | Chroma | Cross-Encoder | Embedding Models | Faiss | GPT | Graph RAG | Hybrid retrieval | Information Retrieval | Knowledge graph | LLM reranking | Langchain | Language Processing | Llamaindex | Milvus | Natural Language | Natural Language Processing | PyTorch | Python | Retrieval-Augmented Generation | TensorFlow | Transformer | Vector Retrieval
Education
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer | NLP Engineer
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