Full-Stack Engineer - A26385
- Compensation
- Not disclosed
- Location
- Singapore, Singapore, Singapore
- Work setup
- Hybrid
- Seniority
- Not specified
- Employment
- Contract
- Experience
- Not specified
- Category
- Fullstack
- Posted
Skills
Must have
- Strong software engineering fundamentals: system design, testing, debugging, CI/CD, observability, security, and maintainable code
- Demonstrated ability to build production-grade full-stack applications and services
- Hands-on experience (or strong working knowledge) of LLM application developmen
- Clear thinking about AI system quality: evals, regression tests, failure modes, monitoring, and human revie
- Ability to communicate clearly with both engineers and non-technical stakeholders
Full description
Activate Interactive Pte Ltd (“Activate”) is a leading technology consultancy headquartered in Singapore with a presence in Malaysia and Indonesia. Our clients are empowered with quality, cost-effective, and impactful end-to-end application development, like mobile and web applications, and cloud technology that remove technology roadblocks and increase their business efficiency.
We believe in positively impacting the lives of people around us and the environment we live in through the use of technology. Hence, we are committed to providing a conducive environment for all employees to realize their full potential, who in turn have the opportunity to continuously drive innovation.
We are searching for our next team members to join our growing team.
If you love the idea of being part of a growing company with exciting prospects in mobile and web technologies that create positive impact on people’s lives, then we would love to hear from you.
This is a 12-months fixed term contract.
Location: Balestier, Hybrid arrangement
MOE DXD builds AI products and platform capabilities for Singapore's Ministry of Education. Our portfolio includes LangBuddy (a voice-first Mother Tongue learning assistant), Markly (an AI feedback tool for teachers), AI-enabled procurement workflows, and the shared platform foundations that make AI systems observable, evaluable, and safe to scale.
What the officer will be working on:
- Design, build, test, deploy, and operate production AI applications across MOE
- Write high-quality full-stack software across TypeScript, NestJS, React, Postgres, and AWS
- Integrate LLM and multimodal APIs in production, including prompting, tool/function calling, streaming, voice interaction, retrieval, and memory patterns
- Build evaluation pipelines for AI quality, safety, regression testing, and human review
- Improve observability across AI products, including traces, logs, metrics, user feedback loops, and model behaviour monitoring
- Build and harden prototypes of emerging AI capabilities into maintainable product or platform components
- Collaborate with product managers, designers, data scientists, governance colleagues, GovTech Central, and MOE stakeholders
Requirements
What are we looking for?
- Strong software engineering fundamentals: system design, testing, debugging, CI/CD, observability, security, and maintainable code
- Demonstrated ability to build production-grade full-stack applications and services
- Hands-on experience (or strong working knowledge) of LLM application developmen
- Clear thinking about AI system quality: evals, regression tests, failure modes, monitoring, and human revie