Our client is a global investment and wealth management institution with an established presence in Hong Kong. Known for adopting modern technology solutions, the firm combines deep market expertise with innovative digital tools to optimise enterprise financial operations, portfolio analytics, and automated decision-making workflows across international markets.
about the team.
You will join a dynamic, forward-thinking technology team sitting at the intersection of full-stack engineering and artificial intelligence. Working directly alongside quantitative researchers, backend developers, and business unit leaders, the team fosters a collaborative, AI-first culture focused on high-speed delivery, continuous learning, and software innovation.
about the job.
- Architect, build, and deploy secure, scalable AI infrastructure, including autonomous agent frameworks, skill expansion pipelines, and standardised context-sharing protocols.
- Design resilient backend workflows linking conversational workspace suites, custom agent logic, and cross-departmental business platforms.
- Implement advanced Retrieval-Augmented Generation (RAG) pipelines and unstructured document parsing engines to analyse complex financial assets, reports, and data feeds.
- Champion AI-assisted coding practices, evaluate cutting-edge local and cloud-hosted LLMs, and design custom tool-calling features to multiply team efficiency.
- Lead technical design, continuous deployment, debugging, code quality standards, and system architecture documentation.
skills & experience required.
- Bachelor’s degree or higher in Computer Science, Software Engineering, or a related quantitative field.
- Minimum 2+ years of hands-on experience in backend or full-stack software development.
- FinTech or Asset Management exposure is advantageous, but not required.
- Strong proficiency in Python, Java, or C++, with practical experience in API and Webhook integrations; Node.js/TypeScript is desirable.
- Proven experience building agent loops, crafting complex prompt strategies, or using flow-based automation tools and LLM frameworks (e.g., LangChain or visual workflow orchestrators).
- High personal accountability, sharp troubleshooting capability, and ability to collaborate across business units.
- Professional working proficiency in written and spoken English is required; conversational fluency in Mandarin is highly valuable.
