Job Description

Assurity Trusted Solutions (ATS) is a wholly owned subsidiary of the Government Technology Agency (GovTech). As a Trusted Partner over the last decade, ATS offers a comprehensive suite of products and services ranging from infrastructure and operational services, authentication services, governance and assurance services as well as managed processes. In a dynamic digital and cyber landscape, where trust & collaboration are key, ATS continues to drive mutually beneficial business outcomes through collaboration with GovTech, government agencies and commercial partners to mitigate cyber risks and bolster security postures.

Who we are

We build and operate mission-critical digital products used at scale. Our teams partner closely with stakeholders to design and deliver practical, product-centric solutions that address real operational needs.


AI is a core part of our work -- from intelligent automation and search, to large language model


(LLM)-powered applications, agentic workflows, and decision-support systems. Our engineers work across

multiple types of initiatives

: rapid Proof-of-Concepts (POCs), shared AI frameworks, and production-grade systems.


We operate in a cloud-native environment (AWS/Azure), build primarily with

Python and JavaScript/TypeScript

, and deliver modern web applications using frameworks such as

React or Vue.js

. We value strong engineering fundamentals, pragmatism, and operational excellence.

What you will be working on

As a Fullstack AI Engineer, you will:

Design, build, and maintain

end-to-end AI-powered applications

, covering frontend, backend, and AI components. Deliver

Proof-of-Concepts (POCs)

by rapidly building working prototypes to validate feasibility and demonstrate value within short timeframes. Build and enhance

core AI frameworks, libraries, and reusable components

to enable faster and more consistent AI development across the team. Develop

production-grade AI systems

, ensuring scalability, reliability, security, and maintainability. Implement

LLM-powered features

, including prompt design, orchestration, structured outputs, and evaluation. Build

agentic or multi-step AI workflows

using modern AI frameworks (e.g. LangGraph, LangChain, or similar). Design and integrate

search and retrieval systems

, including data ingestion, vector indexing, and hybrid search. Develop backend services and APIs using

Python-based frameworks

(e.g. FastAPI, Django) and/or

Node.js/Nest.js

. Build intuitive

user-facing interfaces

using modern frontend frameworks (e.g. React, Vue.js). Contribute to

LLMOps / MLOps practices

, including model versioning, evaluation, monitoring, and deployment workflows. Work with cloud infrastructure, containerisation, and CI/CD pipelines to deploy and operate AI systems. Balance speed and robustness appropriately across POCs, shared frameworks, and production systems. Collaborate closely with product managers, designers, other engineers and stakeholders to translate requirements into working solutions. Debug, monitor, and improve systems in production, upholding high standards of operational excellence.

What it is like working here

We are focused on building products that address meaningful challenges faced by our agency partners in sectors like transportation, education, and healthcare. Your ability to combine AI and development skills will be crucial in driving innovation that enhances the lives of individuals across our society.

Cross-Functional Collaboration - Engage with various stakeholders in a multi-disciplinary team to refine ideas and share knowledge. Rapid Prototyping and Productization - Moving from concept to viable product quickly while maintaining usability and performance. Continuous Learning - Embrace new technologies, frameworks, and methodologies that improve your skills and our solutions. Ownership of the Development Process - Take initiative, drive projects, and be accountable for delivering quality work.

Requirements

You should have:

2-6 years of professional software engineering experience

, with exposure to full stack development. Strong proficiency in

Python

and experience with frontend development using JavaScript/TypeScript (React, Vue.js, or similar). Hands-on experience integrating

LLMs or AI services

into applications. Solid understanding of backend architecture,

RESTful APIs

, and system design fundamentals. Familiarity with

databases

(e.g. PostgreSQL, MongoDB). Experience working in

cloud environments

(AWS, Azure, or GCP). Comfort working across different problem spaces -- from rapid POCs to longer-term platform work. Strong problem-solving skills and clear communication.

Nice to haves

Experience in any of the following is a bonus: Building

shared platforms, frameworks, or developer tooling

. Experience delivering

POCs or pilot system

AI orchestration frameworks such as

LangGraph, LangChain

,

DBOS

, or similar. Search, retrieval, or

RAG system

implementation. Exposure to

LLMOps, MLOps, or GenAI operational practices

. Containerisation (Docker), CI/CD, and infrastructure-as-code. Experience in

regulated, enterprise, or government environments

Familiarity with observability, monitoring, and incident response.

Why join us

Join us and find a meaningful and rewarding career with Assurity Trusted Solutions! The remuneration package will reflect your qualifications and experience. Interested applicants are encouraged to click "Apply Now".



We appreciate your interest and note that only shortlisted candidates will be contacted.

By submitting your application, you agree that your personal data may be collected, used and disclosed by Assurity Trusted Solutions Pte. Ltd. (ATS), GovTech and their service providers and agents in accordance with ATS's privacy statement which can be found at: https://www.assurity.sg/privacy.html or such other successor site.

Benefits

Our employee benefits are based on a total rewards approach, offering a holistic and market-competitive suite of perks. These include leave benefits to meet your work-life needs and employee wellness programmes.





We champion flexible work arrangements (subject to your job role) and trust that you will manage your own time to deliver your best, wherever you are, and whatever works best for you.