Job Opportunities API

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.   At National Environment Agency (NEA), we are always on the lookout for high performing individuals who share our aspiration of making Singapore one of the world’s best living environments.  The NEA is building AI products and shared platform capabilities that can improve how we run complex operational workflows. 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 NEA’s workflows; shared platform capabilities make those products observable, testable, governable, and reusable across NEA. 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. [What you will be working on]   Design, build, test, deploy, and operate AI-enabled products and platform components across NEA. Work on areas such as LLM integration, agentic workflows, evaluation harnesses, observability, guardrails, model access, retrieval/memory patterns, and multimodal AI use cases. Take ambiguous operations problems and turn them into maintainable software with clear success metrics. Build production features for products such as automation, tools, assistants, and deterministic and agentic workflow. Create engineering patterns that other product teams can reuse, including templates, playbooks, test harnesses, and reference implementations. Work closely with product managers, designers, data scientists, governance colleagues, and business owners. Use AI coding and development tools to accelerate delivery while retaining human accountability for design and quality. Participate in design reviews, code reviews, incident response, and technical decision-making. Push for root-cause fixes rather than surface-level patches. [What we are looking for]   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 project. Strong software engineering fundamentals: system design, testing, version control, CI/CD, observability, security, and maintainable code. Good engineering judgement: you c