Purpose of the Position:
As an AI Engineer (Internal Automation), you will be a key driver in transforming our internal business operations into an AI-first ecosystem. Moving beyond theoretical models, your focus will be on the pragmatic, high-impact application of Generative AI, Large Language Models (LLMs), and intelligent workflows to streamline operations across business units.
You will own the complete technical lifecycle from inception to enablement—partnering with cross-functional business units to gather business requirements, building lightweight prototypes, and leading user-enablement initiatives. Working closely with senior AI teammates, you will actively identify operational needs and research emerging AI technologies to architect solutions that maximize efficiency, sharpen enterprise decision-making, and elevate the internal user experience.
In this role, you will:
1. Requirement Gathering & Operational Discovery- Cross-Functional Consulting: Partner with internal department stakeholders to understand their operations needs and identify suitable AI or automation use cases.
- Technical Scoping: Translate broad business needs into crisp, technical AI specifications, aligning expectations with stakeholders.
- Lightweight Prototyping: Develop, test, and iterate proof-of-concepts (PoCs) using LLMs, multi-agent orchestration frameworks, and Retrieval-Augmented Generation (RAG) such as LangChain, LlamaIndex, CrewAI, Semantic Kernel, or vLLM to validate business value before full-scale deployment.
- Systems Integration: Seamlessly connect AI solutions with enterprise systems, databases, and third-party APIs using Python and integration middleware.
- Adoption & Training: Lead internal user-enablement sessions, demonstrations, and prepare user guides to ensure non-technical staff can adopt new AI tools.
- Feedback Loops: Continuous monitoring and gathering feedback with internal users to refine AI assistants and improvements.
- Knowledge Sharing: Conduct ongoing research AI technologies, tools, frameworks, and market trends, and summarize insights for internal reference.
Skills and Experience that will lead to success:
- Bachelor’s degree in Computer Science, Information Technology, Data Science, Artificial Intelligence, or a highly quantitative/ technical discipline.
- Minimum of 5 years of experience in software engineering, data engineering, or systems automation, with a proven track record (2+ years) of building and deploying production-grade Generative AI applications (RAG, Agents).
- Hands-on experience working with LLM APIs (e.g., OpenAI, Anthropic, Gemini), fine-tuning prompt strategies, and utilizing AI development frameworks. Familiarity with AI coding assistants to optimize personal development velocity is a plus.
- Passionate about AI technologies, digital transformation, automation, and data‑driven problem solving
- Ability to bridge the gap between technical AI capabilities and non-technical business users
- Good analytical, problem-solving, communication, and coordination skills
- Willingness to learn new technologies and support digital/AI initiatives
- Good command of English and Chinese; Putonghua preferred
Work location will be at Causeway Bay office.
Our Privacy Notice aims to comply with all relevant data privacy and protection laws. You should read the Privacy Notice in full at corp.scmp.com/privacy-policy.
Skills Required
- Bachelor's degree in Computer Science, IT, Data Science, AI, or related technical discipline
- Minimum 5 years experience in software engineering, data engineering, or systems automation
- 2+ years building and deploying production-grade Generative AI applications (RAG, Agents)
- Hands-on experience with LLM APIs and providers (OpenAI, Anthropic, Gemini)
- Experience with AI development frameworks: LangChain, LlamaIndex, CrewAI, Semantic Kernel, or vLLM
- Proficiency in Python and systems integration with enterprise systems and APIs
- Ability to translate business needs into technical AI specifications and lead stakeholder enablement
- Good command of English and Chinese (Putonghua preferred)
- Familiarity with AI coding assistants to optimize development velocity
What We Do
The South China Morning Post is a leading news media company that has reported on China and Asia for more than a century with global impact. Founded in 1903, SCMP is headquartered in Hong Kong, where it is the city’s newspaper of record, with a growing correspondent staff across Asia and the United States. Our vision is to “Elevate Thought”, and our mission is to “Lead the global conversation about China”. The South China Morning Post is a global digital news leader with a unique role in championing the plurality of voices in Asia through its breadth and depth of news coverage. SCMP is committed to informing and inspiring through journalism of the highest standards. Apart from its flagship newspaper, SCMP also publishes news 24/7 on SCMP.com. In 2020, SCMP became the first news organisation in Asia to join the Trust Project, a consortium of top news companies developing global transparency standards for credible journalism. Additionally, SCMP publishes a portfolio of premium lifestyle and fashion titles in Hong Kong including Cosmopolitan, ELLE, Esquire and, Harper’s BAZAAR. SCMP is also home to Abacus, a digital news brand focused on China's tech industry; Inkstone, a daily news brief for those curious about China's growing impact around the world; and Goldthread, a content platform with a focus on food, travel and culture in China. For more information, please visit us at www.scmp.com. Our Privacy Notice aims to comply with all relevant data privacy and protection laws. You should read the Privacy Notice in full at http://corp.scmp.com/privacy-policy
