AI Agent Architect for Financial Workflows

CSOP Asset Management

Hong Kong

On-site

HKD 900,000 - 1,300,000

Full time

14 days+
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Job summary

CSOP Asset Management is seeking an accomplished AI Engineer to design and implement AI Agent systems that automate complex financial workflows, including trade support and data analysis. You will integrate LLM pipelines and orchestrate multi-step processes with internal data sources.

The role requires strong prompt engineering, model governance, and clear technical documentation. You'll work with traders, PMs, and compliance to deliver enterprise-grade AI capabilities in a fast-paced

Qualifications

  • Bachelor's degree or above in a quantitative field (CS/Engineering/Math).
  • Experience with LLMs, AI agents, and prompt engineering.
  • High proficiency with modern AI development tools and environments.
  • Strong English communication and clear technical documentation skills.
  • Ability to decompose complex business problems into structured engineering tasks.
  • Self-directed work style with ability to manage multiple initiatives.

Responsibilities

  • Solution development for AI agent systems in financial workflows.
  • LLM integration and orchestration across data sources and tools.
  • Prompt engineering to ensure accuracy, consistency and compliance.
  • Rapid prototyping and validation with end users and SMEs.
  • Stakeholder engagement with traders, PMs, distribution, and compliance.
  • Production handoff: documentation and runbooks for platform engineers.
  • Technology evaluation and leadership briefings on AI capabilities.

Skills

AI agent frameworks
Large language models
Prompt engineering
English communication
Analytical thinking
Self-directed work style

Education

Bachelor's degree in CS/Engineering/Math

Tools

GitHub Copilot
Dify
Cursor
Claude

Job description

CSOP Asset Management is seeking an accomplished AI Engineer to design and implement AI Agent systems that automate complex financial workflows, including trade support and data analysis. You will integrate LLM pipelines and orchestrate multi-step processes with internal data sources.

The role requires strong prompt engineering, model governance, and clear technical documentation. You'll work with traders, PMs, and compliance to deliver enterprise-grade AI capabilities in a fast-paced

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