Nlp / Llm 应用工程师
Tasks
- Build agent capabilities layer
- Build agent evaluation dataset
- Build enterprise knowledge base embedding pipeline
- Design evaluation metrics
- Design prompt engineering system
- Develop intent recognition for agents
- Implement RAG retrieval augmented generation
- Implement automated evaluation pipeline
- Implement knowledge question answering
- Implement model routing strategy
- Implement semantic search with embeddings
- Manage agent dialogue flow
- Optimize context engineering
Perks/Benefits
- N/A
Skills/Tech-stack
Agent Frameworks | Anthropic API | Chroma | Embeddings | Langchain | Langgraph | Llamaindex | Milvus | OpenAI API | Pinecone | Prompt engineering | Python | RAG | RAG evaluation | Retrieval-Augmented Generation | Vector Database | Vector Search
Education
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