AI Platform Engineer for Public Sector

Assurity Trusted Solutions Pte Ltd; Singapore; On-site; SGD 60,000 - 120,000; Full time

Benefits offered by this job

Total rewards

Leave benefits

Flexible work arrangements

Job summary

Assurity Trusted Solutions Pte. Ltd. (ATS) is a GovTech subsidiary delivering trusted digital solutions for the public sector. We build AI-enabled platforms and APIs using Python and JavaScript, focusing on secure, scalable software and cloud/on‑prem deployments.

Join a collaborative multi-disciplinary team that prototyped technology opportunities, designed robust architectures, and shipped production-grade software while mentoring peers and learning new AI-driven platform services.

Qualifications

• Proficiency in Python and JavaScript with ability to learn.
• Experience building RESTful APIs and microservices.
• Familiar with web frameworks like FastAPI and React.
• Exposure to cloud and on-prem deployment and DevOps practices.
• Experience with data sources such as MongoDB and Elasticsearch.
• Interest in data science and machine learning.

Responsibilities

• Build prototypes to demonstrate technology opportunities.
• Design system architectures with security and infrastructure constraints.
• Write production-quality code.
• Integrate AI platform services (RAG pipelines, evaluation).
• Backend and frontend development of applications.
• Manage deployments to on‑premise and cloud.
• Collaborate with stakeholders to ensure deployment readiness.
• Mentor engineers and share knowledge.

Skills

Python

JavaScript

REST APIs

FastAPI

React

CI/CD

DevOps

MongoDB

Elasticsearch

Langchain

Prometheus

On-prem

Cloud

Tools

Docker

Kubernetes

Job description

Assurity Trusted Solutions Pte. Ltd. (ATS) is a GovTech subsidiary delivering trusted digital solutions for the public sector. We build AI-enabled platforms and APIs using Python and JavaScript, focusing on secure, scalable software and cloud/on‑prem deployments.

Join a collaborative multi-disciplinary team that prototyped technology opportunities, designed robust architectures, and shipped production-grade software while mentoring peers and learning new AI-driven platform services.