Nlp / Llm 应用工程师
Tasks
- Build agent model capability layer
- Build embedding pipeline
- Build golden dataset
- Create knowledge question answering
- Define evaluation metrics
- Deploy agent evaluation system
- Design intent recognition
- Design prompt engineering system
- Develop semantic vector retrieval
- Explore multi model routing strategy
- Implement RAG retrieval augmented generation
- Implement automated evaluation pipeline
- Implement dialogue management
- Optimize context engineering
Perks/Benefits
- N/A
Skills/Tech-stack
Agent evaluation | Anthropic API | Automated testing | Chroma | DeepEval | Embedding Pipeline | Embeddings | Golden Dataset | Langchain | Langgraph | Llamaindex | Milvus | OpenAI API | Pinecone | Prompt engineering | Promptfoo | Python | RAG | Ragas | TruLens | Vector Databases | Vector Retrieval
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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