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Oliver James Associates

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AI Engineer (Financial Services - Software)

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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


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