AI Engineer - Python/ LLM/ RAG

Adecco; Hong Kong; On-site; HKD 600,000 - 900,000; Full time

Job summary

Financial Regulator in Hong Kong is seeking an AI Engineer to drive AI initiatives. You will build and deploy ML and GenAI applications, develop LLM-powered solutions, and design end-to-end AI pipelines with robust MLOps practices.

You will collaborate closely with data scientists, engineers, and business stakeholders to deliver production-ready AI systems. The role requires strong Python skills with TF/ PyTorch/ scikit-learn, plus experience with APIs, SQL, Docker, CI/CD and cloud environments.

Qualifications

• 3+ years in AI/ML application development.
• Proficient in Python with TF/ PyTorch / scikit-learn.
• Experience with APIs, SQL, Docker, CI/CD, cloud/production.
• Knowledge of LLMs, Prompt Engineering, RAG/GenAI preferred.

Responsibilities

• Build and deploy ML and GenAI applications in production.
• Develop LLM-powered solutions, RAG systems and agent workflows.
• Design end-to-end AI pipelines from training to monitoring.
• Apply MLOps best practices: CI/CD, model serving, governance.
• Collaborate with Data Scientists, Engineers and stakeholders.

Skills

AI/ML development

Python

LLMs/GenAI basics

CI/CD practices

Stakeholder collaboration

Tools

Docker

APIs

SQL

Cloud environments

Job description

Our client is a leading financial regulator in Hong Kong, they are looking for AI Engineer for driving AI projects and initiatives for their institution.

RESPONSIBILITIES:

• Build and deploy ML & GenAI applications in production environments
• Develop LLM-powered solutions, RAG systems and agent-based workflows
• Design end-to-end AI pipelines covering model training, deployment and monitoring
• Implement MLOps best practices including CI/CD, model serving and governance
• Work closely with Data Scientists, Engineers and Business Stakeholders

REQUIREMENT:

• 3+ years of experience in AI/ML application development
• Strong Python skills with TensorFlow, PyTorch, Scikit-learn or similar frameworks
• Experience with APIs, SQL, Docker, CI/CD and cloud/production environments
• Knowledge of LLMs, Prompt Engineering, RAG or GenAI technologies is highly preferred

Please note that only short listed candidates will be notified. All information gathered will be treated in strict confidence and solely used for recruitment purposes