Manager, AI Engineer (GenAI)

TL;DR

Manager, AI Engineer (GenAI/AWS): Building and integrating AI and machine‑learning solutions to enhance business applications and workflows with an accent on Generative AI and RAG components. Focus on developing scalable AI features, optimizing model performance, and integrating cloud-based AI services.

Location: Hunghom, Kowloon, Hong Kong

Company

A global financial services company dedicated to helping clients achieve lifetime financial security and live healthier lives.

What you will do

• Develop GenAI/RAG components and automation workflows using modern AI frameworks.
• Build and integrate APIs, data processing pipelines, and cloud‑based AI services on AWS.
• Collaborate with product owners and engineering teams to translate requirements into functional AI solutions.
• Optimize model performance, reliability, and cost through testing, tuning, and monitoring.
• Design, develop, and deploy secure software applications and system components.
• Perform code reviews and troubleshoot technical issues across various environments.

Requirements

• Must be based in or have the right to work in Hong Kong
• Bachelor’s degree in Information Technology, Computer Science, or related fields.
• Over 6 years of professional working experience.
• At least 2+ years of experience in machine learning or AI, with a minimum of 1 year focused on generative AI technologies.
• Proven hands-on experience with Large Language Models (e.g., Claude, Nova Pro, Qwen) and prompt engineering.
• Proficiency in Python and Java.

Nice to have

• Experience with LLM frameworks including LangChain, LangGraph, and n8n.
• Familiarity with REST APIs and frameworks such as FastAPI or Flask.
• Knowledge of databases such as PostgreSQL and Cosmos DB.
• Practical experience with AWS cloud services, especially SageMaker and Bedrock.
• Knowledge of containerization and orchestration tools such as Docker and Kubernetes.

Culture & Benefits

• Work with dynamic experts in a supportive environment that encourages professional growth.
• Culture based on caring, authentic, bold, inspiring, and impactful values.
• Opportunities to make a meaningful difference in the lives of individuals and communities.
• Collaborative atmosphere with empowering leadership.