AI Engineer (LLM)
Summary
Build and deploy LLM applications for anti-money-laundering tasks using Python, PyTorch, and open-source models like Llama and Qwen.
Responsibilities
- Develop LLM applications for tasks within the AML context
- Research and develop prototype implementations of new algorithms and methodologies related to LLMs
- Work with product development team to uncover customer needs and aspirations
Job Requirements
- Proficiency in programming and project collaboration tools, such as Python, PyTorch, Transformers, Git, etc.
- Familiarity with the latest open-source LLMs, including but not limited to Llama, Qwen, DeepSeek, InternLM, etc.
- Experience in agentic systems, prompt engineering, LLM deployment, LLM fine-tuning, RAG, and database usage
- Passion for developing LLM applications, particularly in the field of AML
- Proficiency in Cantonese or Mandarin. Fluency in English is advantageous
Job Details
- Seniority level: Entry level
- Employment type: Full-time
- Job function: Information Technology
- Industries: Technology, Information and Media
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