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$ cat jobs/ai-engineer-temus-e8c3a3304989.json

AI Engineer

Temus·APAC·Singapore·mid
awsazuremlaillmdata scienceci/cdserverless
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Temus is a Temasek-backed consulting firm providing digital transformation solutions for the private and public sectors. W e 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: Jupy

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