Nlp / Llm 应用工程师
Tasks
- Build agent LLM capability layer
- Build agent evaluation system
- Build embedding pipeline for knowledge base
- Create golden dataset for evaluation
- Define evaluation metrics
- Design intent recognition
- Design prompt engineering system
- Develop dialogue management
- Develop multi model routing strategy
- Implement RAG retrieval augmented generation
- Implement automated evaluation pipeline
- Implement knowledge question answering
- Implement semantic search
- Optimize context engineering
Perks/Benefits
- N/A
Skills/Tech-stack
Agent | Anthropic API | Automated testing | Chroma | Dialogue Management | Embeddings | Evaluation | Intent Recognition | Knowledge Question Answering | Langchain | Langgraph | Language Models | Large Language Models | Llamaindex | Milvus | OpenAI API | Pinecone | Prompt engineering | Python | Question Answering | RAG | Retrieval-Augmented Generation | Vector Databases | Vector Search | Vector similarity
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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