CTO — Scientific AI Architect & Systems Leader

Deep Principle Limited; Hong Kong; On-site; HKD 3,000,000 - 5,000,000; Full time

Job summary

Deep Principle Limited is seeking a Chief Technology Officer in Hong Kong to lead Mira Global's AI models, agent systems, and computing infrastructure. You will own technical architecture, prototype development, and engineering delivery, shaping research plans and ensuring reproducible results at scale.

The role demands hands-on leadership, direct involvement in algorithms and system designs, and strong progress tracking across tool integration, workflow orchestration and scalable computing.

Qualifications

• Master's degree in computer science, AI, computational science, engineering, physics, chemistry or a relevant STEM discipline.
• 5 years of working experience in relevant field.
• Ability to lead integration across AI agent architectures, tool use and workflow orchestration.

Responsibilities

• Own technical architecture and experimental development. Translate scientific requirements into system designs and technical research plans.
• Prototype and compare approaches to resolve uncertainties in model integration and computational scalability.
• Develop scientific agent execution systems with tool calling, task orchestration and monitoring.
• Improve reliability and traceability across multi-model workflows and heterogeneous computing environments.
• Lead model training/inference capabilities, including pipelines, retrieval, deployment and cost trade-offs.

Skills

Python

Leadership

System architecture

Education

Master's degree in CS/AI/engineering or related STEM

Tools

PyTorch

TensorFlow

Job description

Deep Principle Limited is seeking a Chief Technology Officer in Hong Kong to lead Mira Global's AI models, agent systems, and computing infrastructure. You will own technical architecture, prototype development, and engineering delivery, shaping research plans and ensuring reproducible results at scale.

The role demands hands-on leadership, direct involvement in algorithms and system designs, and strong progress tracking across tool integration, workflow orchestration and scalable computing.