AI Engineer: FinTech Backend & RAG Systems

Randstad Hong Kong Limited; Hong Kong; On-site; HKD 420,000 - 660,000; Full time

Job summary

Randstad Hong Kong Limited is seeking a capable backend/AI infrastructure engineer to architect, build, and deploy secure AI systems for financial assets analysis and automation. You will work with a multidisciplinary team across engineering and business units to implement RAG pipelines and advanced tool-calling features.

The role requires 2+ years in backend or full-stack development, strong Python/Java/C++, and English proficiency; Mandarin is highly valued for cross-border collaboration.

Qualifications

• 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.

Responsibilities

• 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

Python

Java

C++

TypeScript

Education

Bachelor Degree in Computer Science/Software Engineering or related field

Tools

LangChain

Visual workflow orchestrators

Job description

Randstad Hong Kong Limited is seeking a capable backend/AI infrastructure engineer to architect, build, and deploy secure AI systems for financial assets analysis and automation. You will work with a multidisciplinary team across engineering and business units to implement RAG pipelines and advanced tool-calling features.

The role requires 2+ years in backend or full-stack development, strong Python/Java/C++, and English proficiency; Mandarin is highly valued for cross-border collaboration.