About Us

MoneyHero Group (Nasdaq: MNY) is a market leading financial products platform in Greater Southeast Asia, reaching 9.8m monthly unique users and working with more than 270 commercial partners across four markets including Singapore, Hong Kong S.A.R., Philippines, and Taiwan.

The AI Engineer will:

• Drive the company's AI initiatives and drive the adoption of the latest generative AI (GenAI) technologies and languages
• Implement and manage AI-agents, chatbots, and other AI-powered solutions to enhance the company's products and services
• Research and evaluate modern AI technology stacks, platforms, and tools to identify the most suitable solutions for the company's needs
• Design, develop, and deploy production-ready AI-powered applications and systems
• Collaborate with cross-functional teams, including engineering, product, and business stakeholders, to understand requirements and deliver effective AI-driven solutions
• Present AI initiatives and solutions to stakeholders, demonstrating their value and impact on the business

In this role, we are looking for someone with:

• Extensive experience in implementing and managing AI-powered applications, including chatbots, advisory systems, and other AI-based solutions
• Proficient in the latest GenAI technologies, languages, and frameworks, such as agentic design patterns, prompting patterns, advanced RAG, RLHF
• A comprehensive personal project portfolio or a proven track record of delivering production-ready AI solutions and presenting them effectively to stakeholders
• Strong understanding of modern AI technology stacks, including cloud-based AI platforms, machine learning frameworks, and data engineering tools
• Excellent problem-solving, critical thinking, and analytical skills to identify and address complex AI-related challenges
• Effective communication and collaboration skills to work with cross-functional teams and stakeholders

Good to have:

• Experience in deploying and managing AI-powered applications in a production environment, preferably in cloud environments (AWS, GCP, etc.)
• Familiarity with DevOps practices and tools for AI/ML model deployment and monitoring
• Hands-on experience with popular AI/ML frameworks and libraries (e.g., LangChain/LangGraph/LangSmith, TensorFlow, PyTorch, Hugging Face Transformers)
• Knowledge of natural language processing and understanding (NLP/NLU,, predictive analytics, and other AI/ML domains
• Understanding of ethical considerations and responsible AI practices

If you have the required experience and skills, and are passionate about driving AI innovation within the company, we encourage you to apply for this exciting opportunity.

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