Artificial Intelligence Engineer

Value Partners Group; Hong Kong; On-site; HKD 600,000 - 900,000; Full time

Job summary

Value Partners Group is seeking an experienced software engineer to lead the full-stack design, development and ongoing enhancement of our core AI infrastructure platforms, including the Agent system, Skills platform and MCP platform.

You will drive AI feature development for key business systems, applying N8N workflow automation, MinerU, RAGFlow and locally deployed LLMs to address real-world challenges, while shaping engineering standards and promoting efficiency across the team.

Qualifications

• Bachelor degree or above in Computer Science, Software Engineering or a related discipline.
• Proficient in at least one of Java, Python or C++; hands-on experience with AI-assisted development (Vibe Coding); proven experience deploying and operating at least one Coding Agent (including configuring models independently); capable of Skills development.
• Familiar with the end-to-end Agent Development Loop, and able to leverage AI effectively for day-to-day development, debugging and solution exploration.
• Strong self-learning ability with a high sense of ownership and execution; excellent analytical and cross-functional collaboration skills.
• Good command of written and spoken English; proficiency in Cantonese is an advantage.
• Preferred: independently developed and runnable project experience — in particular, work recognised on GitHub (e.g. stars) or within technical communities.

Responsibilities

• Lead the full-stack design, development and continuous enhancement of the company's core AI infrastructure platforms, including the Agent system, Skills platform and MCP platform.
• Drive AI feature development for core business systems, applying N8N workflow automation, MinerU, RAGFlow and locally deployed LLMs to solve real-world business scenarios.
• Contribute to defining and promoting the company's AI engineering standards and usage policies, advancing AI industrialisation and overall team productivity.
• Own system iteration, troubleshooting, technical documentation and coding standards, ensuring high-quality project delivery.

Skills

Java

Python

C++

AI-assisted development

Coding Agent deployment

Skills development

Education

Bachelor degree or above in Computer Science, Software Engineering or a related discipline

Tools

Vibe Coding

Coding Agent deployment

Job description

• Lead the full-stack design, development and continuous enhancement of the company's core AI infrastructure platforms, including the Agent system, Skills platform and MCP platform.
• Drive AI feature development for core business systems, applying N8N workflow automation, MinerU, RAGFlow and locally deployed LLMs to solve real-world business scenarios.
• Contribute to defining and promoting the company's AI engineering standards and usage policies, advancing AI industrialisation and overall team productivity.
• Own system iteration, troubleshooting, technical documentation and coding standards, ensuring high-quality project delivery.

Requirements

• Bachelor degree or above in Computer Science, Software Engineering or a related discipline, with 2+ years of system development experience; experience in the asset management industry is an advantage.
• Proficient in at least one of Java, Python or C++; hands-on experience with AI-assisted development (Vibe Coding); proven experience deploying and operating at least one Coding Agent (including configuring models independently); capable of Skills development.
• Familiar with the end-to-end Agent Development Loop, and able to leverage AI effectively for day-to-day development, debugging and solution exploration.
• Strong self-learning ability with a high sense of ownership and execution; excellent analytical and cross-functional collaboration skills.
• Good command of written and spoken English; proficiency in Cantonese is an advantage.
• Genuine passion for AI technology with a hands-on mindset; keeps abreast of AI frontiers and is able to propose well-reasoned recommendations.
• Preferred: independently developed and runnable project experience — in particular, work recognised on GitHub (e.g. stars) or within technical communities.