AI Engineers (FS Industry, Contract)

ConnectedSolutions; Hong Kong; On-site; HKD 600,000 - 900,000; Full time

Job summary

ConnectedSolutions in Hong Kong is seeking an AI Engineer on a 1-year contract to design, develop, and deploy AI and GenAI solutions for business teams.

You will build RAG applications, leverage knowledge graphs, and implement agentic workflows, collaborating with stakeholders to translate requirements into scalable, compliant AI systems.

The role focuses on production-grade models, governance, risk, and operational efficiency, with hands-on Python development and cloud deployment.

Qualifications

• 2-4 years of AI engineering or related field.
• Experience building RAG, LangGraph, or intelligent automation solutions.
• Proficient in Python and problem solving.
• Exposure to governance or regulatory initiatives is advantageous.

Responsibilities

• Design, develop, and deploy AI and GenAI solutions using modern LLM frameworks.
• Build and enhance AI applications leveraging RAG, knowledge graphs, and agentic workflows.
• Collaborate with business and technical stakeholders to gather requirements and translate them into scalable solutions.
• Support AI solutions for governance, risk, and regulatory initiatives.
• Monitor, optimise, and maintain AI models and applications in production.

Skills

AI Engineering

Python

Machine Learning

Data Engineering

RAG

Knowledge Graphs

Neo4J

LangGraph

Tools

Neo4J

GraphRAG

Job description

Partnering with a Leading Financial Services Organization, we are seeking an AI Engineer (1-Year Contract, Extend/Perm) to build and deliver AI Analytics and Agentic AI solutions, working closely with business and technology teams.

Responsibilities

• Design, develop, and deploy AI and GenAI solutions using modern LLM frameworks.
• Build and enhance AI applications leveraging RAG, knowledge graphs, and agentic workflows.
• Collaborate with business and technical stakeholders to gather requirements and translate them into scalable solutions.
• Support AI solutions for compliance, governance, risk, and operational efficiency initiatives.
• Monitor, optimise, and maintain AI models and applications in production environments.

Requirements

• 2-4 years' experience in AI Engineering, Machine Learning, Data Engineering, or a related field, ideally from start-ups.
• Experience building RAG, LangGraph, or intelligent automation solutions; and Python.
• Exposure to Knowledge Graphs, GraphRAG, Neo4J is highly desirable.
• Experience supporting governance, or regulatory-related initiatives is advantageous.