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AI Engineer, Full Stack

ntu · NTU Main Campus

New
Mid 🇬🇧 English
TypeScript React Python Node.js REST GraphQL SQL NoSQL Google Cloud Platform Amazon Web Services CI/CD

Job description

About the role

This position is hosted at Nanyang Technological University (NTU) under the office of the Vice President (Artificial Intelligence & Digital Economy). It sits within the AI Singapore initiative, which brings together Singapore-based research institutions, AI start-ups and companies to support impactful research, develop talent and advance Singapore's AI efforts. The role is a hands-on full stack engineer working on a data platform that supports multimodal data collection, curation and access.

Key responsibilities

  • Design, build and maintain frontend interfaces, backend services, APIs and data models for the data platform, using AI tools deliberately in the engineering workflow.
  • Write clean, tested, maintainable code, take part in code reviews and contribute to technical documentation.
  • Build features and tooling for model and data evaluations, benchmark execution and result tracking, and create interfaces and workflows for data annotation (task design, quality control, reviewer workflows).
  • Integrate with evaluation frameworks, benchmark suites and annotation tools, and help decide between building or adopting solutions.
  • Deploy and maintain the platform on Google Cloud Platform and Amazon Web Services, including configuration, networking and storage.
  • Set up and maintain CI/CD pipelines, monitoring, logging and alerting, and manage cloud resources cost-effectively.
  • Work with the Project Manager, data engineers, researchers and external partners to deliver features steadily, and take part in incident response and post-mortems.

Required profile

  • Degree in Computer Science, Information Technology or equivalent.
  • Around 2-3 years of full stack development experience shipping production features.
  • Experience deploying applications on GCP and AWS, including containerised workloads, managed services and CI/CD.
  • Working knowledge of AI/ML evaluation, benchmarking and/or data annotation workflows and their tooling.
  • Strong communication skills and ability to work with technical and non-technical stakeholders across cultures and time zones.

Required skills

  • Frontend: TypeScript/React
  • Backend: Python or Node.js, REST/GraphQL APIs, SQL and/or NoSQL
  • Cloud: GCP and AWS
  • Bonus: multimodal data systems, open-source AI/data tooling, experience in Singapore public sector or research programmes

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Source : ats:workday

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Published 2 hours ago

Expires 1 month from now

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ntu

NTU Main Campus