AI Engineer

Value Partners Ltd; Hong Kong; On-site; HKD 300,000 - 600,000; Full time

Job summary

Value Partners Ltd seeks an AI Engineer to 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.

You will drive AI feature development for core business systems using N8N workflow automation, MinerU, RAGFlow and locally deployed LLMs to address real-world business scenarios, while promoting engineering standards and productive workflows.

Qualifications

• Bachelor degree or above in Computer Science, Software Engineering or a related discipline, with 2+ years of system development experience.
• 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; 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.

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's degree in Computer Science/Software Engineering

Tools

Vibe Coding

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.