AI Engineer (POC Development, Insurance) - 75k

A leading organisation in Hong Kong is seeking a AI Engineer (Manager Level) to drive the design & POC development of advanced AI solutions while designing cutting-edge technologies that solve real business challenges.

Key responsibilities:

• Design and develop AI-powered proof-of-concept prototypes to validate emerging technologies for real-world business challenges, ensuring performance across accuracy, cost, and scalability metrics
• Collaborate with business stakeholders to gather requirements, translate needs into technical specifications, and iteratively refine prototype features through incremental development cycles
• Evaluate and recommend optimal technology stacks by assessing scalability, performance, and alignment with organisational objectives for effective AI implementation
• Present prototypes in iterative review cycles, incorporating stakeholder feedback to enhance functionality, usability, and overall solution quality
• Communicate solution architecture and risk controls to Risk, Compliance, and Infosec teams, implementing safeguards such as human-in-the-loop and human-outside-the-loop frameworks
• Enable smooth production transition by working with operations teams, maintaining detailed documentation, and managing version-controlled repositories to support knowledge sharing and ongoing enhancements

Candidate profile:

You are an experienced AI or software development professional with strong analytical and technical capabilities, able to bridge business needs with advanced engineering solutions.

• Five years’ app/dev experience for commercial organisation
• Education in engineering background; IT related University degree is not mandatory
• Fluent in spoken English and Chinese
• Strong in advanced mathematics. (AI relies on a foundation of linear algebra for data representation (vectors / matrices), calculus for model optimisation (gradients / derivatives), and probability / statistics to manage uncertainty)
• Conviction in the necessity to adhere to business requirements
• Hands-on skillsets on Repository Management (Github, GitLab, Bitbucket), Software Tools
• (Terminal, Powershell, Pycharm, VS Code, IntelliJ), Business Process Management
• (Confluence, Jira, Zoho, Asana), Computer Vision (CNN, IP/Industrial Cameras, RTSP, RTMP, MJPEG streaming protocols)

Familiar skillsets on:

• LLM Workflow Orchestration: Multi-step LLM workflows using Dify and custom orchestration: user-intent understanding, planning sequences of calls, and coordinating tools/APIs end-to end (workflow patterns)
• LLM Development and Tools: Axolotl Training Suite, Dify, xInference, vLLM, HuggingFace, Low Rank Adaption, Data Set curation, text embedding, Re-Rankers, Langchain, Langgraph, Gemini, Qwen, DeepSeek, Llama, ChatGPT family of LLM, SLM and code builder models
• Python: Pycharm, Gradio, OpenCV, YOLO, DLIB, LangChain, Pytorch, Tensorflow, CUDA
• OCR Models: Azure Document Intelligent, Google Vision API, Qwen OCR, Paddle, DOTS.OCR
• Containers/VM/Cloud Services:Docker, VMWare, Azure VM, VirtualBox

About the company:

Leading Hong Kong-based organisation operating in regulated financial services sector delivers customer-centric solutions through innovation, strong governance, digital capabilities, prioritising employee growth, stability, and long-term value creation environment and resilience.

Keywords: AI, innovation, prototyping, LLM, orchestration, compliance, Automation

What's next:

If you are enthusiastic about shaping the future of insurance through artificial intelligence innovation, apply now!