大语言模型应用工程师
Tasks
- Accelerate model inference
- Apply prompt engineering
- Build enterprise knowledge bases
- Build intelligent Q A systems
- Build intelligent retrieval systems
- Build scalable production deployments
- Deploy AI solutions
- Design RAG systems
- Develop LLM applications
- Evaluate and monitor model outputs
- Implement LLM agent workflows
- Implement fine-tuning
- Optimize model performance
- Research LLM technology trends
Perks/Benefits
- N/A
Skills/Tech-stack
A2A | AI integration | Agent systems | Autogen | CrewAI | Evaluation | Faiss | Fine Tuning | Inference acceleration | Langchain | Langgraph | Llamaindex | LoRA | MCP | Milvus | Model Compression | Model Quantization | Monitoring | Multi-Agent | Multi-Agent Systems | Prompt engineering | PyTorch | Python | RAG | SFT | TensorFlow | Transformers | Vector Database
Education
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