AI Engineer

Temus

Singapore

On-site

SGD 120,000 - 180,000

Full time

3 days ago
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Job summary

Temus, a Temasek-backed consulting firm in Singapore, seeks an AI/ML engineer to solve complex problems and deliver transformative change for clients and citizens. You will contribute to a world-class AI and data team, and build strong relationships with clients, colleagues, and partners across diverse contexts.

With 3+ years in AI/ML or software engineering and hands-on deployment experience, you will advance our capabilities, invest in continuous learning, and apply expertise to multi-agent

Qualifications

  • Minimum 3 years of experience in AI/ML, data science or software eng.
  • Hands-on AI development and deployment end-to-end completed.
  • Exposure to cloud services: AWS, Azure or GCP.

Responsibilities

  • Harness expertise in AI engineering to solve complex problems for clients and citizens.
  • Develop and maintain relationships with clients, colleagues and partners across contexts.
  • Contribute to a world-class AI and data team.
  • Invest in building and extending knowledge and skills.

Skills

AI engineering
ML engineering
Cloud computing
DevOps
Stakeholder engagement

Education

Bachelor's degree in CS/AI

Tools

Docker
Kubernetes
Terraform
Ansible
MLflow
Weights & Biases
LangChain
OpenAI API

Job description

Temus is a Temasek-backed consulting firm providing digital transformation solutions for the private and public sectors. We aspire to be a strategic partner in realising the Singapore Government’s Smart Nation vision. We are headquartered in Singapore and have more than 400 employees across a wide range of disciplines in strategy, design, architecture, technology, data & AI.

Your Role

  • Harness your expertise in AI engineering, delivery, and governance to solve complex problems and deliver transformative change for clients and citizens.
  • Make an outstanding contribution to a world-class AI and data team.
  • Develop and maintain relationships with a broad range of clients, colleagues, and partners across a variety of contexts and formats.
  • Invest continuously in building and extending your knowledge and skills.

Your Background

  • At least 3 years of relevant working experience in fields related to artificial intelligence, machine learning, data science, or software engineering.
  • Completed at least one hands-on AI development and deployment end-to-end.
  • Exposure to agentic AI concepts such as multi-agent systems, tool-use, RAG pipelines, or autonomous task execution is highly desirable.
  • At least 3 years of implementation experience with serverless computing, CI/CD, containerisation, Infrastructure as Code, code version control and automated testing.
  • Exposure to one or more cloud services: AWS, Azure or GCP.
  • Candidates should demonstrate strength in either AI Engineering or ML Engineering (see below). Strength in both is a plus.

AI Engineering (LLM & Agentic Systems)

  • Practical hands-on experience with LLMs and agentic tooling: LangChain, LangGraph, AutoGen, CrewAI, OpenAI API, Anthropic API, AWS Bedrock, Google Vertex AI, Azure ML, Hugging Face Transformers, MLFlow, Dataiku, MS Fairlearn, Google PAIR.
  • Experience with prompt engineering, fine-tuning, and responsible AI evaluation.
  • Practical hands-on experience with ML development and deployment tooling: Jupyter, PyTorch, TensorFlow, Scikit-learn, AWS SageMaker, MLFlow, Docker, Kubernetes, Terraform, Ansible, Datadog.
  • Broad knowledge of NLP, computer vision, recommendation systems, reinforcement learning and time series forecasting.
  • Exposure to model experiment tracking and training workflows: hyperparameter tuning, experiment logging (e.g. MLFlow, Weights & Biases), and reproducible training runs.
  • Exposure to the MLOps lifecycle: data versioning, model training pipelines, experiment tracking, model registry, deployment, monitoring, and retraining triggers — using tools such as MLFlow, Weights & Biases, Kubeflow, AWS SageMaker Pipelines, Azure ML Pipelines, or Google Vertex AI Pipelines.

Temus is an equal opportunities employer. We welcome applications from all. We do not discriminate by race, religion, belief, ethnicity, origin, disability, age, partnership status, sexual orientation, or gender identity.

We see the diversity of our team as a strategic advantage, and we work actively to maintain it.

By applying for this role, you have read and acknowledge the data privacy statement via this link - temus.com/job-applicant-data-protection/

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