Temus
Digital Transformation
AIEngineer
Neural analysis suggests this role is
optimal for Mid candidates.
“AI Engineer at Temus. Skills: AI Engineering, ML Engineering, LLMs, Agentic Systems. Harness expertise in AI engineering. Solve complex problems”
What You'll Achieve.
Deliver transformative change for clients and citizens; Make an outstanding contribution to a world-class AI and data team
Industry & Context.
Solve complex problems
What They're Looking For.
Must Have
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, 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, Strength in either AI Engineering or ML Engineering
Nice to Have
Exposure to agentic AI concepts such as multi-agent systems, tool-use, RAG pipelines, or autonomous task execution is highly desirable, Strength in both AI Engineering and ML Engineering is a plus
What You'll Do.
Harness expertise in AI engineering
Solve complex problems
Deliver transformative change
Contribute to AI and data team
Develop client relationships
Maintain client relationships
Invest in knowledge building
How You'll Work.
Team & Collaboration
Develop relationships with colleagues; Develop relationships with partners
Full 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. ML Engineering / MLOps Practical hands-on experience with ML development and deployment tooling: Jupyt
Applying for this AI Engineer role?
Most applicants get filtered before a human reads their resume. See if yours makes the cut.
How to Apply on Greenhouse
- Create a Greenhouse profile before applying — it saves time across multiple applications.
- Upload your resume as a PDF; the parser handles it better than Word.
- Answer all knockout questions carefully — wrong answers auto-reject before a human sees you.
- Enable email notifications to track application status in real time.
ANONYMOUS · UNFILTERED
What do employees actually say about Temus?
Real rants from real employees. Read before you apply.