AI Engineer

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.

• ML Engineering / MLOps

• • 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/