AI Engineer

Reposted 18 Days Ago
Be an Early Applicant
Singapore, SGP
In-Office
Mid level
Information Technology • Consulting
Unlocking Economic and Societal Value through Holistic Transformation Enabled by Technology.
The Role
The AI Engineer role involves applying expertise in AI and ML to develop solutions, enhance client relationships, and continuously improve skills.
Summary Generated by Built In

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/


Skills Required

  • At least 3 years of relevant working experience in artificial intelligence, machine learning, data science, or software engineering
  • Completed at least one hands-on AI development and deployment end-to-end
  • 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
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The Company
380 Employees
Year Founded: 2021

What We Do

The creation of Temus was catalysed by the need for sophisticated digital capabilities to drive transformation across the public and private sector, in Singapore and broader region. Our approach seeks to drive transformation "holistically", which looks beyond the use of technology and covers all aspects of people, process, change management and policy, which is critical to driving successful transformation outcomes. Everything we do is geared towards helping transform people's lives through technology. We seek to achieve simplicity in everything we do, in the way people embrace technology, the way we serve our clients and the way we run internally. We offer end-to-end transformation that starts with a design for value orientation and "walks" the path with strong IT service and delivery capabilities, centered in Singapore. We are committed to offering a strong talent value proposition, where we stand for purposeful and impactful work, and at the centre of Singapore's technology ecosystem. Our Capabilities Value Architecting: Design for value orientation, focus on articulating the value equation and maximizing outcomes around it. Consulting: Collaborative and long-term partnership oriented. IT Services: World class development, through strong engineering practices and deep technical capabilities.

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