AI Engineer
- Compensation
- Not disclosed
- Location
- Kowloon Bay, Kwun Tong District
- Work setup
- Onsite
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- 2+ years
- Category
- Ai engineering
- Posted
Skills
Must have
- Bachelor's degree in Computer Science, Software Engineering, Artificial Intelligence, Data Science, Information Systems, Computer Engineering, or a related discipline. Relevant professional certificat
- Around 5 - 6 years of software engineering, automation, AI engineering, or systems implementation experience. 2+ years of hands-on AI solution development experience at an enterprise level, preferably
- Proven experience delivering AI applications from proof-of-concept through production deployment and post-implementation support.
- Strong software engineering skills including API development, system integration, and scripting. Familiarity with cloud platforms, low-code tools, and orchestration frameworks.
- Python and Java are mandatory, with strong coding, debugging and testing capability.
- Practical experience in AI security and controls, including prompt injection mitigation, data leakage prevention and usage monitoring is preferred.
- Strong problem-solving abilities, self-motivated and able to work under pressure in a fast-paced environment.
- Candidates with less experience may also apply and will be considered for the Assistant AI System Engineer post.
Full description
Born from Hong Kong's demand for fast, convenient, and reliable payment solutions, Octopus introduced the world's first contactless multi-modal transit payment system in 1997. Since then, this homegrown FinTech company has pioneered innovative payment solutions for urban living across four continents. Our Vision To become the most preferred payment and lifestyle companion that connects customers and business partners through our best-in-class products and services. Our Mission Making everyday life easier. Our Values Customer Centricity, Simplicity & Trustworthiness. Dedicated to addressing customer needs and adapting to evolving market trends, Octopus has broadened its services beyond transportation to encompass retail, e-commerce, cross-border transactions, and travel abroad. Today, we serve approximately 98% of Hong Kong’s population, processing around 15 million transactions at more than HK$300 million on average daily. At the heart of our success are our colleagues. We value mutual respect, foster collaboration, and encourage innovation and partnership. Join us and shape the future of payment solutions. Your impact starts here!
Responsibilities:
- Deploy AI-assisted coding tools to enable secure and efficient application development. Build and maintain MCP platforms and software components for AI, agentic, and automation solutions. Develop Generative AI applications and services that integrate AI capabilities into existing enterprise platforms and processes.
- Design and develop AI-enabled workflow automation solutions using APIs, scripts, low-code platforms, and orchestration frameworks to optimize manual and repetitive tasks. Support user acceptance testing, production rollout, change management, and continuous improvement of automation solutions.
- Establish monitoring for AI application performance, model behavior, usage metrics, errors, latency, costs, and user adoption. Support incident investigations, root cause analysis, and production support for AI systems.
- Integrate responsible AI principles, data privacy, cybersecurity, and risk management requirements into solution design and deployment. Support AI risk assessments, security reviews, privacy impact assessments, model validation, and governance approvals. Monitor emerging AI risks and implement mitigation strategies.
- Collaborate with cross-functional teams including application development, infrastructure, cybersecurity, data, and business units to deliver secure, scalable AI solutions.
- Assist with proof-of-concepts, pilot projects, demonstrations, and change management implementation. Provide user support, technical training, and promote responsible AI practices and knowledge sharing across the company.
Requirements:
- Bachelor's degree in Computer Science, Software Engineering, Artificial Intelligence, Data Science, Information Systems, Computer Engineering, or a related discipline. Relevant professional certifications in cloud, AI, data, cybersecurity, automation, or software engineering are an advantage.