AI Engineer

Contract period: 12 months, renewable

We are on the exciting journey of simplifying and transforming our business and IT landscape. With a multi-year digitalisation programme within the organisation and we are growing our Digital, Data and Technology team. An exciting time lies in store for us and we are now inviting an AI Engineer with strong programming and prototyping skills to join our team.

Background:

As an AI Engineer, you will develop, maintain, test and evaluate various AI applications for various business use cases across different departments. You will also be involved in the design of other solutions, matching capabilities to priority business challenges.

Key Responsibilities:

1. Work closely with business stakeholders to develop innovative AI application using various AI technology, e.g., RAG, workflow and AI agent.

2. Bring the AI application from prototyping to production with proper evaluation and testing throughout the software development life cycle (SDLC).

3. Develop services and integrate them with internal and external APIs / MCPs to power AI applications.

4. Work closely with Data Scientists, Platform Engineers and Product Owners to deliver AI application in a continuous delivery environment.

5. Keep pace with new technologies and use them whenever appropriate.

Qualifications:

• University degree in computer science, software engineering, or related fields

• At least 3 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 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 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

• Experience in working in an international team, with solid grounding in financial service is a plus

• 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