AI Engineer

Key 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.

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.