AI Engineering Jobs in Hong Kong SAR China
There are 76 open AI Engineering jobs in Hong Kong SAR China on freehire right now. 7 of them were posted recently. The skills employers ask for most often are ai, python and llm.
Most requested skills
- ai 89%
- python 67%
- llm 63%
- machine-learning 58%
- cloud 39%
- api 38%
- rag 37%
- automation 28%
How the work is done
- Onsite 5 · 7%
- Hybrid 3 · 4%
- Remote 3 · 4%
Visa sponsorship offered in 80% of the 5 postings that state a position on it.
Seniority
- Senior 15
- Lead 5
- Intern 4
- Staff 3
- C-level 1
- Junior 1
Who is hiring
- 1000+ employees 8
- 501-1000 employees 6
- 11-50 employees 4
Senior LLM & AI Platform Scientist
Designs, builds, and deploys large language model-based AI solutions, optimizing inference and creating scalable data pipelines for enterprise applications.
AI Engineer
Develops and deploys computer vision models for aquaculture monitoring, processing image and sensor data to assess water conditions and ecosystem health in real-world environments.
Senior AI Platform & GenAI Operations Engineer
Build and maintain the AI platform and GenAI services, handling deployment, incident response, and scaling for reliable AI operations in Hong Kong.
AI Engineer (Cloud Services Architect)
Designs and deploys scalable cloud infrastructure for AI services, leading multi-cloud integration and AI model operationalization while optimizing costs and security.
AI Engineer
Build and maintain AI systems that power fundamental equity research for Asian markets, including retrieval, reasoning, and workflow automation using Python and LLM technologies.
LLM Algorithm Engineer - Web3 & Finance Innovator
Build and refine large language models and AI agents for crypto trading, compliance, and Web3 infrastructure at Binance.
AI Engineer – Data Focus | AWS ML, Onsite & Collaborative
Build and deploy AI/ML models on AWS for clients, focusing on data pipelines and machine learning solutions using Python or Java.
Senior AI Engineer
Build and deploy production-grade AI systems, including LLMs and RAG pipelines, using Python and cloud AI platforms.
Founding AI Engineer
Build and deploy LLM-powered tools for an investment firm, including research assistants and internal agents, while designing scalable AI infrastructure and governance.
Founding AI Engineer: Shape Investment AI at Scale
Build and deploy AI models to automate and enhance investment workflows, integrating data engineering with secure governance for an Asia-based firm.
AI Automation Engineer - Build Production Tools & Workflows
Build production-grade AI tools and workflows to automate internal processes across trading, custody, and operations using LLMs and other AI technologies.
AI Data Architect - GenAI & Cloud Data Solutions
Designs and implements cloud-based data architectures for AI solutions in insurance, focusing on GenAI and compliance with data governance standards.
AI Engineer
Build and improve AI-powered financial research tools using LLM, RAG, vector search, and agentic workflows for a market intelligence platform.
AI Engineer / CTO
Principal-level role building LLM-driven tools to enhance investment research workflows, integrating AI into core decision-making processes.
AI Research Engineer AI技术研究员
Research and develop core AI technologies, optimize deep learning models, and deploy large-scale systems while applying AI across industries like 5G/6G, healthcare, and finance.
AI Research Engineer: Build Next-Gen Large-Scale AI
Design and optimize large-scale AI models, build deep-learning architectures, and deploy end-to-end AI systems using TensorFlow/PyTorch and Python/C++.
AI Engineer (f/m/d)
Build and deploy enterprise-grade GenAI and ML applications for asset management workflows, integrating LLMs, RAG, and vector databases with full-stack Python/React systems in a regulated environment.
AI Engineer (LLM/ Chatbot)
Build and optimize production-grade LLM systems, integrating commercial APIs and self-hosted models, and implementing RAG pipelines and end-to-end LLM workflows.
AI Engineer - Data
Build and optimize AI data models using AWS ML services, collaborating with teams to implement ML solutions and analyze datasets for insights.