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See allAbout the Role:
- Develop and refine LLMs to extract actionable insights and improve decision-making.
- Build scalable LLM/RAG frameworks for customer service scheduling.
Responsibilities:
- Own the full LLM pipeline from data preparation to production usage.
- Build and maintain RAG QA/search systems and multi-agent LLM architectures.
- Create evaluation pipelines to measure model quality, bias, and hallucination rates.
Requirements:
- Master's degree or higher in CS/Data Science with 2+ years of NLP/LLM experience.
- Expertise in prompt engineering, multi-agent workflows, and vLLM/SGLang inference.
- Fluent in English and Chinese for cross-team collaboration.
Binance
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