Tech – Software Engineer: AI Programme

GovTech is the lead agency driving Singapore’s Smart Nation initiatives and public sector digital transformation. As the Centre of Excellence for Infocomm Technology and Smart Systems (ICT & SS), GovTech develops the Singapore Government’s capabilities in Data Science & Artificial Intelligence, Application Development, Smart City Technology, Digital Infrastructure, and Cybersecurity. At GovTech, we offer you a purposeful career to make lives better where we empower our people to master their craft through robust learning and development opportunities all year round. Play a part in Singapore’s vision to build a Smart Nation and embark on your meaningful journey to build tech for public good. Join us to advance our mission and shape your future with us today! Learn more about GovTech at tech.gov.sg. [About the Team] The Ministry of Education is building AI products and shared platform capabilities that can improve how students learn, how teachers work, and how HQ teams run complex operational workflows. The AI Platform & Capability Programme sits at the centre of this work. We build and support AI-native products such as learning assistants, marking tools, procurement agents, multimodal prototypes, and the shared evaluation, observability, model-access, and governance capabilities needed to scale them responsibly. We are hiring software engineers who can take ambiguous problems from brief to production. This is not a pure research role and not a demo-building role. The work is to build reliable, maintainable, policy-sensitive AI systems that can survive real users, real operational constraints, and public-sector trust requirements. AI will support how we build. Engineers still own the design, judgement, quality, and consequences of what ships. How we build We prefer simple, durable engineering choices over novelty for its own sake. The stack may vary by product, but the principles do not: clear architecture, automated testing, CI/CD, observability, secure-by-design delivery, and systems that are easy to reason about after launch. The team’s operating model is product-led and platform-amplified. Product squads prove value in real education or HQ workflows; shared platform capabilities make those products observable, testable, governable, and reusable across MOE. Engineers may work inside a product squad, on the shared AI platform, or in a forward-deployed model where they help a vertical team build AI capability before bringing reusable patterns back to the centre