Key Responsibilities:
- Work closely with business stakeholders to develop innovative AI application using various AI technologies, 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 lifecycle (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 organisation 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 applications or other AI applications is a must.
- Experience of leading and mentoring a team is a must.
- Experience in public cloud platforms (AWS, Azure, AliCloud) and having any relevant certification is preferable.
- Experience in system design and software development lifecycle is preferable.
- Experience with MLOps/LLMOps in a large-scale enterprise environment is preferable.
- Experience in Web Application development is an advantage (e.g.: Next.js,React, Typescript).
- Proficiency in Python and SQL
- Experience with the following tech stack: Orchestration (Langchain, LlamaIndex), Vector DB (Milvus, ElasticSearch, Qdrant), LLM (OpenAI, Deepseek), Data Engineering (Airflow, Spark), Infrastructure (Docker, Terraform, Kubernetes), CICD Suite (Jenkins, JIRA, Sonar, Git, Ansible), Test Framework (jMeter, jUnit, PyTest)
- Excellent communication skills and data-driven thinking capabilities
- Team management and problem-solving skills; self-motivated, creative, and with a proven track record in developing and driving firm-wide initiatives
- Ability to turn problem statements into clear, feasible solutions that add business value.
If you're interested in this role, please forward your latest resume to cheryl.NG@hays.com.hk or contact Cheryl Ng at +852 2101 0081.