GenAI-Focused Full-Stack Engineer for Public Sector (2y)

GovTech Singapore; Singapore; On-site; SGD 120,000 - 180,000; Full time

Benefits offered by this job

Flexible work arrangements

Leave benefits

Employee wellness programs

Total rewards approach

Job summary

GovTech Singapore invites an experienced software engineer to join the Attorney-General's Chambers (AGC) digital transformation effort. You will drive the delivery of high-impact Legal GenAI applications, focusing on secure, scalable, and reusable software features and collaboration with vendors or in-house teams.

The role requires 4–6 years in software engineering, strong full-stack design, and practical GenAI experience.

Qualifications

• 4–6 years of professional software engineering experience.
• Strong experience in modern full-stack web application architecture and development.
• Proficient in TypeScript for frontend and backend; Python for backend with GenAI integration.
• Hands-on GenAI development with LLMs, RAG, and Graph DB patterns.
• Experience with AWS infrastructure.
• Familiar with IaC using Terraform.
• CI/CD pipelines with GitLab CI in SHIP-HATS ecosystem.
• Able to communicate complex findings to legal professionals and product owners.

Responsibilities

• Own the development and delivery of software features.
• Maintain high-quality, secure, and reusable codebase.
• Participate in squad-level technical discussions and decisions.
• Support GenAI product builds with LLMs, RAG, and Graph DB patterns.
• Communicate technical concepts clearly to stakeholders and assist senior engineers.

Skills

TypeScript

Python

GenAI

AWS

Terraform

GitLab CI

CI/CD

IaC

Stakeholder comms

Tools

AWS

Terraform

LLMs

RAG patterns

Graph DB

Job description

GovTech Singapore invites an experienced software engineer to join the Attorney-General's Chambers (AGC) digital transformation effort. You will drive the delivery of high-impact Legal GenAI applications, focusing on secure, scalable, and reusable software features and collaboration with vendors or in-house teams.

The role requires 4–6 years in software engineering, strong full-stack design, and practical GenAI experience.