AI Engineer (Internal Automation)

scmp; Hong Kong; On-site; HKD 480,000 - 720,000; Full time

Job summary

SCMP seeks an AI Engineer (Internal Automation) to transform internal operations into an AI-first ecosystem from our Causeway Bay office in Hong Kong. You will build practical GenAI solutions, prioritize efficiency, and improve enterprise decision-making and user experience.

You will gather requirements, prototype with LLMs and RAG, and integrate with enterprise data sources, while leading internal training to enable non-technical staff to adopt new AI tools.

Qualifications

• Bachelor’s degree in Computer Science, Information Technology, Data Science, Artificial Intelligence, or a highly quantitative/ technical discipline.
• Minimum of 2 years of software engineering, data engineering, or systems automation experience with production-grade Generative AI apps (RAG, Agents).
• Hands-on experience with LLM APIs (OpenAI, Anthropic, Gemini) and prompt strategy tuning.
• Familiarity with AI development frameworks and AI coding assistants is a plus.
• Fluent in English and Chinese; Putonghua preferred.

Responsibilities

• Requirement gathering and operational discovery with internal stakeholders.
• Agile prototyping using LLMs, multi-agent orchestration, and RAG to validate business value.
• Systems integration with enterprise databases and APIs using Python.
• Lead internal user enablement sessions and create user guides.
• Knowledge building and sharing on AI technologies for internal reference.

Skills

Bilingual English/Chinese

Cross-functional collaboration

Analytical thinking

Problem solving

Education

Bachelor's in CS/IT/Data Science/AI

Tools

LangChain

LlamaIndex

CrewAI

Semantic Kernel

vLLM

Job description

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.

2. Agile Prototyping & AI Engineering

• 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.

3. User Enablement & Change Management

• 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.

4. Internal Knowledge-Building

• 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 2years of experience in software engineering, data engineering, or systems automation, with a proven track recordof 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.

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