AI工程师-Agent Memory & RAG 方向（北京）
Tasks
- Build offline and online evaluation systems for memory module
- Compute ranking metrics including precision recall mrr ndcg
- Design memory storage with vector index and sparse index
- Explore graph rag knowledge graph based memory
- Fine tune embedding models for domain contexts
- Follow research on generative agents and memgpt
- Implement memory recall ranking with cross encoder or LLM based rerank
- Optimize agent long term memory representations
- Optimize multi route recall strategies
Perks/Benefits
- N/A
Skills/Tech-stack
BERT | Chroma | Cross-Encoder | Embedding Models | Faiss | GPT | Graph RAG | Hybrid search | Information Retrieval | Knowledge graph | LLM reranking | Langchain | Llamaindex | Milvus | NLP | PyTorch | Python | RAG | TensorFlow | Transformers | Vector Search
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
AI | AI Engineer | Engineer
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