Responsibilities:
- Responsible for the research and implementation of related algorithms in the fields of task-based dialogue, open domain QA , and customer service Chatbot.
- Drive core technology development for LLM (especially for RAG and chatbot) continuously optimizing comprehension, reasoning, and generation capabilities.
- Collaborate with cross-functional teams, to integrate advanced LLM solutions into existing systems, ensuring seamless operation and maximum impact.
- Work closely with prompt engineers to refine and optimize prompt design, enabling more accurate and contextually relevant outputs from LLMs.
- Conduct cutting-edge research to stay ahead of the latest developments in LLM and AGI technologies, applying these advancements to solve complex business challenges.
- Develop scalable and robust LLM/RAG frameworks that can be adapted to chatbot, driving innovation and maintaining a competitive edge in the market.
Requirements:
- Programming skills, data structure and algorithm skills, proficient in C/C++ or Python programming language.
- Hands-on experience in the field of machine learning, especially in large language models (LLMs) and generative artificial intelligence.
- Excellent problem analysis and solving skills, and passionate about solving challenging problems.
- Stay ahead of the latest developments in LLM and AGI technologies.
- Passionate about technology, good communication skills and teamwork spirit.
