AI Engineer - Financial services, 45k

Michael Page International (HK) Ltd; Hong Kong; On-site; HKD 650,000 - 950,000; Full time

Job summary

Michael Page International (HK) Ltd seeks an AI Engineer to design and deliver AI applications using RAG, AI agents, and workflow automation. You will deploy AI solutions from PoC to production, integrating with APIs and MCPs, and collaborate in an agile setup with Data Scientists, Platform Engineers, and Product Owners.

The role requires 3+ years in AI/DS, experience with cloud platforms, MLOps, and modern AI tooling, especially LangChain, LlamaIndex, and vector databases.

Qualifications

• Bachelor's degree in Computer Science, Software Engineering, or a related discipline.
• 3+ years of experience in AI Engineering, Software Engineering, or Data Science.
• Public cloud platforms (AWS, Azure, AliCloud) and relevant certifications.
• MLOps/LLMOps within large-scale enterprise environments.
• AI orchestration tools such as LangChain, LlamaIndex, Dify, or n8n.
• Vector databases including Milvus, Elasticsearch, or Qdrant.
• LLM platforms such as OpenAI or DeepSeek.
• Data engineering tools such as Airflow and Spark.
• Infrastructure and DevOps tools including Docker, Kubernetes, Terraform, Jenkins, Git, SonarQube, and Ansible.
• Testing frameworks such as PyTest, JUnit, and JMeter.
• Experience in financial services and working within international teams.

Responsibilities

• Partner with business stakeholders to design and deliver AI applications using RAG, AI agents, and workflow automation.
• Build, test, evaluate, and deploy AI solutions from proof-of-concept to production following SDLC best practices.
• Develop and integrate AI services with internal and external APIs/MCPs.
• Collaborate with Data Scientists, Platform Engineers, and Product Owners in an agile, continuous delivery environment.
• Research and adopt emerging AI technologies to enhance business capabilities.

Skills

AI Engineering experience

Education

Bachelor's degree in Computer Science / Software Engineering

Tools

LangChain

LlamaIndex

Dify

n8n

Milvus

Elasticsearch

Qdrant

OpenAI

DeepSeek

Airflow

Spark

Docker

Kubernetes

Terraform

Jenkins

Git

SonarQube

Ansible

PyTest

JUnit

JMeter

Job description

As an AI Engineer, you will develop and improve AI solutions for Technology work within Financial Services.

As an AI Engineer, your main responsibilities will include:

• Partner with business stakeholders to design and deliver AI applications using RAG, AI agents, and workflow automation.
• Build, test, evaluate, and deploy AI solutions from proof-of-concept to production following SDLC best practices.
• Develop and integrate AI services with internal and external APIs/MCPs.
• Collaborate with Data Scientists, Platform Engineers, and Product Owners in an agile, continuous delivery environment.
• Research and adopt emerging AI technologies to enhance business capabilities.

A successful AI Engineer should have:

• Bachelor's degree in Computer Science, Software Engineering, or a related discipline.
• 3+ years of experience in AI Engineering, Software Engineering, or Data Science.
• Public cloud platforms (AWS, Azure, AliCloud) and relevant certifications.
• MLOps/LLMOps within large-scale enterprise environments.
• AI orchestration tools such as LangChain, LlamaIndex, Dify, or n8n.
• Vector databases including Milvus, Elasticsearch, or Qdrant.
• LLM platforms such as OpenAI or DeepSeek.
• Data engineering tools such as Airflow and Spark.
• Infrastructure and DevOps tools including Docker, Kubernetes, Terraform, Jenkins, Git, SonarQube, and Ansible.
• Testing frameworks such as PyTest, JUnit, and JMeter.
• Experience in financial services and working within international teams.