AI Engineer (LLM)

FCC Analytics Limited; Hong Kong; On-site; HKD 480,000 - 900,000; Full time

Job summary

FCC Analytics Limited is seeking a motivated professional to develop LLM applications for AML-related tasks, researching and prototyping new algorithms and methods. You will collaborate with the product development team to uncover customer needs and aspirations, shaping AI capabilities for financial compliance.

Applicants should be proficient in Python, PyTorch, Transformers, and Git, with familiarity in LLMs like Llama, Qwen, or related stacks.

Qualifications

• Proficiency in programming and collaboration tools with modern ML skills.
• Familiarity with open-source LLMs such as Llama, Qwen, and related stacks.
• Experience in agentic systems, prompt engineering, deployment, fine-tuning, RAG, and database usage.
• Passion for developing LLM applications, especially in AML contexts.
• Proficiency in Cantonese or Mandarin; fluency in English is an advantage.

Responsibilities

• Develop LLM applications for AML tasks and related prototypes.
• Research and implement new algorithms and methodologies for LLMs.
• Collaborate with product development to identify customer needs and aspirations.

Skills

Agentic systems

Prompt engineering

LLM deployment

LLM fine-tuning

RAG

Database usage

Tools

Python

PyTorch

Transformers

Git

Job description

• 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