AI Engineer (Financial Services - Software)
Summary
AI engineer for a financial-services client in Hong Kong who builds, deploys, and maintains LLM-based applications and chatbots for customers and internal agents. Day-to-day is Python (FastAPI/Flask), RAG and prompt engineering, plus production support on AWS with Docker, Kubernetes (EKS/ECS), and CI/CD.
Salary: $50,000 – $75,000 per month
Role Description:
Build and improve AI applications from a technical standpoint
Handle deployment, ongoing maintenance, troubleshooting, and improvements of AI applications
Support chatbot and AI-driven solutions for customers and internal agents
Apply LLM technologies and AI frameworks to develop and enhance applications
Deploy, maintain, troubleshoot, and enhance AI applications
Support daily operations and address production issues
Contribute to the development of new AI features and functionalities
Progressively take ownership of applications development
Key Requirements
Hands-on experience developing AI applications using LLM-based solutions
7+ years of IT industry experience/software engineering background
Experience building or supporting chatbot applications
Experience with application monitoring, patching, dependency upgrades, and writing technical documentation/runbooks
Strong knowledge of RAG, prompt engineering, embeddings, vector search, LLM APIs, evaluation, and AI guardrails
Strong Python skills with experience using FastAPI or Flask
Experience developing REST APIs and integrating systems
Solid AWS experience, including deploying applications from source code to production
Hands-on knowledge of Docker, Kubernetes, Amazon EKS/ECS, ECR, IAM, CloudWatch, S3, RDS, and CI/CD pipelines
Ability to troubleshoot application, API, Kubernetes, network, and integration issues in production
Effective communication in Cantonese and English
Insurance or Financial Services Industry (FSI) experience is preferred
Experience with AWS Bedrock or other LLM platforms is preferred
Candidates with lesser experience may be considered for a more junior position