AI Engineer (HK$40K - $50K+)

Global Executive Consultants Ltd.; Hong Kong; On-site; HKD 900,000 - 1,300,000; Full time

Job summary

A leading consulting firm in Hong Kong is seeking a skilled candidate to optimize generative AI model performance through effective embedding strategies. The role involves developing applications using frameworks like Lang Chain and LangGraph, maintaining a library of optimized prompts, and overseeing data tagging processes for quality insights. Ideal candidates will have relevant experience in AI strategies and application development. Competitive package offered.

Qualifications

• Proficient in designing and implementing embedding strategies for AI models.
• Experience in developing applications with AI frameworks like Lang Chain and LangGraph.
• Ability to maintain a library of optimized prompts through feedback.
• Ability to iterate based on user feedback and metrics.

Responsibilities

• Design and implement strategies to optimize AI model performance.
• Develop applications using Lang Chain and LangGraph.
• Create and maintain a library of optimized prompts for models.
• Oversee data tagging processes for AI training.

Skills

Generative AI optimization

Lang Chain

LangGraph

Data tagging processes

Job description

Our client, a Public Listed Company, is looking for high‑calibre person to fill the position.

Job Duties

• Design and implement effective embedding strategies to optimize generative AI model performance.
• Develop applications using frameworks like Lang Chain and LangGraph.
• Create and maintain a library of optimized prompts, ensuring iterative refinement through user feedback loops.
• Oversee data tagging processes for insight generation and model training, ensuring high-quality inputs.

Job Requirements

• Design and implement effective embedding strategies to optimize generative AI model performance.
• Develop applications using frameworks like Lang Chain and LangGraph.
• Create and maintain a library of optimized prompts, ensuring iterative refinement through user feedback loops.
• Oversee data tagging processes for insight generation and model training, ensuring high-quality inputs.