# Senior/ Software Engineer, AI Programme at GovTech Singapore

GovTech Singapore is hiring a Senior/ Software Engineer, AI Programme in Singapore, Singapore. Level rates it Builds AI ●●●●; you can [apply on GovTech Singapore](https://jobsbylevel.com/go/730c9f1f-b1d2-479a-8f32-c36a9ca0fd40?utm_medium=ai-agent).

AI Level 4, AI centrality 85 out of 100. Singapore.

## Details

- Company: [GovTech Singapore](https://jobsbylevel.com/companies/govtech-singapore)
- AI level: AI Level 4 (score 85 out of 100)
- Location: Singapore
- Posted: August 16, 2026
- Apply: https://jobsbylevel.com/go/730c9f1f-b1d2-479a-8f32-c36a9ca0fd40?utm_medium=ai-agent
- Free CV review for this job: https://jobsbylevel.com/cv-review?job=senior-software-engineer-ai-programme-at-govtech-singapore-188fd3

## Prepare for this job

The job page lists 5 likely interview questions for this offer, with a CV checklist: https://jobsbylevel.com/jobs/senior-software-engineer-ai-programme-at-govtech-singapore-188fd3

## Description

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. [What you will be working on] The AI Programme builds shared AI infrastructure that agencies can run in production, instead of rebuilding the same foundations independently. It sits within Government Digital Products, and it owns a small number of central products that a lot of other people's work now depends on. Three of them shape the job. There's the agent surface public officers use to get through the day: it reaches into their mail, their documents and their case systems, so it has to be quick, honest about what it just did on their behalf, and safe to point at real records. Underneath sits the developer platform, where teams across government bring their own agents, MCP servers and skills and move them into production through review, approval and audit. And there's the model and capability layer that most agencies meet first: a compliant gateway to multiple production-approved models behind an OpenAI-compatible API, alongside shared speech, vision and document capabilities (live transcription, image and video classification, key information extraction) that every agency would otherwise go and procure separately, with guardrails, quotas and cost attribution already attached. Building an agent demo is easy now, and that's fine, because it means the hard parts have moved. Most of what we work on lives after the demo. An agent decides to call a tool that sends an email on someone's behalf, and the approval gate for that has to be enforced by the runtime, not requested politely in a system prompt. A tool loop needs a stop condition that doesn't depend on the model deciding it's done. Token spend has to trace back to the team that caused it, and when an agency's agent gets slower this week, someone has to be able to say why. Rollback gets interesting when the artefact is a prompt, a tool schema and a model version rather than a binary. Very little of that is model work. It's orchestration, platform and operations, which is roughly the job. You'll work across all of it: the surfaces officers see, the runtime underneath, the platform other engineers build on, and the unglamorous business of keeping the whole thing up. Your user is a public officer with something to finish today. Your customer is often another engineering team in another agency. What you'll do Build and run the surfaces officers use daily. Streaming, approval interrupts, resumable sessions, and interfaces that stay readable when an agent is doing four things at once Build the runtime beneath them: tool orchestration, approval gates enforced in code, loop limits, per-turn tool filtering, memory and checkpointing, model routing and fallback Work on the platform half, where the job is to let other teams onboard their own agents, MCP servers, skills and models, with the policy checks and promotion workflows that let them move to production safely and repeatedly Extend the shared capability APIs (speech, vision, document extraction) and keep them fast and cheap enough that agencies reach for them instead of building their own Integrate with what government already runs: identity, mail and calendar, document stores, agency line-of-business systems, the existing CI/CD

The description is cut here. Read the full offer: https://jobsbylevel.com/jobs/senior-software-engineer-ai-programme-at-govtech-singapore-188fd3

Source: https://jobsbylevel.com/jobs/senior-software-engineer-ai-programme-at-govtech-singapore-188fd3

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