Nlp / Llm 应用工程师
Tasks
- Build RAG retrieval augmented generation
- Build knowledge question answering
- Create evaluation dataset
- Define evaluation metrics
- Design intent recognition
- Design prompt engineering framework
- Develop multi model routing strategy
- Develop semantic search
- Implement automated evaluation pipeline
- Implement dialogue management
- Implement embedding pipeline
- Implement vector database integration
- Optimize context engineering
Perks/Benefits
- N/A
Skills/Tech-stack
Anthropic API | Chroma | DeepEval | Dialogue Management | Embedding | Evaluation automation | Intent Recognition | Knowledge Base | Langchain | Langgraph | Llamaindex | Milvus | OpenAI API | Pinecone | Prompt engineering | Promptfoo | Python | Ragas | Retrieval-Augmented Generation | TruLens | Vector Databases | Vector Search
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
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