AI Engineer for Asset Management Platforms

Genesis Connect; Hong Kong; On-site; HKD 391,000 - 614,000; Full time

Job summary

Genesis Connect, on behalf of a leading regional Asset Management firm in Hong Kong, seeks an AI Engineer to design and enhance enterprise AI infrastructure. The role centers on custom agent runtimes, MCP integrations, and data pipelines using open-source tools and self-hosted LLMs to derive actionable insights.

Ideal candidates bring 2+ years in software engineering, strong Python/Java/C++ skills, and hands-on experience with agentic workflows and modern development tools.

Qualifications

• 2+ years in software engineering with a degree in Computer Science or a related STEM discipline.
• Strong programming skills in Python, Java, or C++, with practical experience in local model hosting, tool integration, and agentic workflows.
• Experience with next-gen development tools (Cursor, Claude Code, GitHub Copilot) and configuring autonomous coding agents.
• Business fluency in English, Cantonese, and Mandarin for regional collaboration.
• Active GitHub presence or open-source work showcasing applied LLM and agent architecture.

Responsibilities

• Drive end-to-end design and execution of core AI platforms, focusing on custom agent runtimes, tool hubs, and MCP integrations.
• Build intelligent data pipelines using open-source tools and self-hosted LLMs to turn documents into insights.
• Set the benchmark for AI-native software development and mentor on coding agents and context management.
• Own system design, technical specs, troubleshooting, and CI/CD for production-ready software.

Skills

Python/Java/C++

Education

BSc in CS or related

Tools

Cursor

Claude Code

GitHub Copilot

Job description

Genesis Connect, on behalf of a leading regional Asset Management firm in Hong Kong, seeks an AI Engineer to design and enhance enterprise AI infrastructure. The role centers on custom agent runtimes, MCP integrations, and data pipelines using open-source tools and self-hosted LLMs to derive actionable insights.

Ideal candidates bring 2+ years in software engineering, strong Python/Java/C++ skills, and hands-on experience with agentic workflows and modern development tools.