AI Engineer — LLMs, Agentic Systems & MLOps

Temus; Singapore; On-site; SGD 90,000 - 150,000; Full time

Job summary

Temus in Singapore is seeking an AI/ML engineer to solve complex problems and deliver transformative change for clients and citizens. You will contribute to an outstanding, world-class AI and data team and build relationships with clients, colleagues, and partners across contexts.

The role requires hands-on AI development end-to-end, exposure to agentic AI concepts, and strength in either AI or ML engineering, with cloud tools, CI/CD, containerisation, and IaC.

Qualifications

• Minimum 3 years of experience in AI, ML, data science, or software engineering.
• Hands-on experience developing and deploying AI end-to-end.
• Exposure to agentic AI concepts (multi-agent systems, tool-use, RAG, autonomous tasks) is desirable.
• At least 3 years of experience with serverless computing, CI/CD, containerisation, Infrastructure as Code, version control, and automated testing.
• Experience with AWS, Azure or GCP cloud services.
• Strong capability in either AI Engineering or ML Engineering (both is a plus).

Responsibilities

• Solve complex problems for clients and citizens using AI, delivery and governance.
• Contribute to a world-class AI and data team.
• Build and maintain relationships with clients, colleagues, and partners across contexts.
• Continuously invest in expanding knowledge and skills.

Skills

AI Engineering

ML Engineering

Cloud Platforms

CI/CD

Containerization

Serverless

Infrastructure as Code

Version Control

Automated Testing

Prompt Engineering

Reproducible Training

Tools

Jupyter

PyTorch

TensorFlow

Scikit-learn

AWS SageMaker

MLFlow

Docker

Kubernetes

Terraform

Ansible

Datadog

Job description

Temus in Singapore is seeking an AI/ML engineer to solve complex problems and deliver transformative change for clients and citizens. You will contribute to an outstanding, world-class AI and data team and build relationships with clients, colleagues, and partners across contexts.

The role requires hands-on AI development end-to-end, exposure to agentic AI concepts, and strength in either AI or ML engineering, with cloud tools, CI/CD, containerisation, and IaC.