Lead AI Engineer (Financial Institution)
Key Responsibilities:
Work closely with business stakeholders to develop innovative AI application using various AI technology, e.g., RAG, workflow and AI agent.
Bring the AI application from prototyping stage to production with proper evaluation and testing throughout the software development life cycle (SDLC).
Develop services and integrate them with internal and external APIs / MCPs to power AI applications.
Work closely with Data Scientists, Platform Engineers and Product Owners to deliver AI application in a continuous delivery environment.
Keep pace with new technologies and promote them across the organization whenever appropriate.
Mentor and lead a team of AI engineers, and manage the delivery timeline and scope of multiple AI projects.
Requirements:
University degree in computer science, software engineering, or related fields - At least 6 years of experience in data science, software engineering or AI engineering
Experience in delivery of RAG application or other AI application is a must
Experience in leading and mentoring a team is a must.
Experience in public cloud platform (AWS, Azure, AliCloud) and having any relevant certification is preferable. - Experience in system design and software development lifecycle is a preferable.
Experience with MLOps/LLMOps in a large scale enterprise environment is a preferable
Experience in Web Application development is an advantage (e.g.: NextJs, React, Typescript)
Experience in the following technology stack is preferable:
Programming: Python, SQL
AI Orchestration: Langchain, LlamaIndex, etc.
Vector DB: Milvus, ElasticSearch, Qdrant, etc.
LLM: OpenAI, Deepseek, etc.
Data Engineering: Airflow, Spark
Infrastructure: Docker, Terraform, Kubernetes
CICD Suite: Jenkins, JIRA, Sonar, Git, Ansible
Test Framework: jMeter, jUnit, PyTest
• Excellent communication skills, with proficiency in written and spoken English, Cantonese and/or Mandarin
• Working location in Hong Kong