AI Engineer - Financial services, 45k

Michael Page (Hong Kong); Hong Kong; On-site; HKD 700,000 - 1,100,000; Full time

Job summary

Michael Page (Hong Kong) is seeking an AI Engineer to design, build, and deploy AI applications using RAG, AI agents, and workflow automation. You will ensure SDLC best practices, test and productionize AI services, and integrate with internal and external APIs.

The role requires collaboration with Data Scientists, Platform Engineers, and Product Owners in an agile environment and staying abreast of emerging AI technologies to strengthen business capabilities.

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

3+ years experience

AI engineering

Data science

Education

Bachelor's degree in Computer Science or Software Engineering

Tools

AWS/Azure/AliCloud

MLOps/LLMOps

LangChain

LlamaIndex

Dify

n8n

Milvus

Elasticsearch

Qdrant

OpenAI

DeepSeek

Airflow

Spark

Docker

Kubernetes

Terraform

Jenkins

Git

SonarQube

Ansible

PyTest

JUnit

JMeter

Job description

• Financial services industry
• AI Engineer

About Our Client

Financial services industry

Job Description

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.

The Successful Applicant

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.