Full-Stack Engineer — Build Scalable Enterprise AI

ELGO AI PTE. LTD.; Singapore; On-site; SGD 90,000 - 150,000; Full time

Job summary

ELGO AI PTE. LTD. is seeking a hands-on Full Stack Software Engineer to build and scale its core platform and enterprise applications. You will work across frontend, backend, APIs, databases, integrations, and deployment infrastructure, collaborating with AI engineers to bring AI capabilities into the product layer.

The role requires ownership across the full software development lifecycle, from design to production support, with strong emphasis on reliability, security, and performance.

Qualifications

• At least 4 years of software engineering experience building production applications.
• Strong frontend with React.js, TypeScript, JavaScript, HTML, CSS.
• Backend development experience with Golang preferred.
• Experience with relational and NoSQL databases (PostgreSQL, MySQL, MongoDB).
• DevOps and cloud exposure: AWS/Azure/GCP, Docker, CI/CD, monitoring.

Responsibilities

• Build and maintain frontend applications using React.js, TypeScript, JavaScript, HTML, and CSS.
• Develop backend services, APIs, and business logic using Golang.
• Design and maintain relational and NoSQL databases.
• Build integrations with external APIs and enterprise apps.
• Collaborate with AI Engineers to integrate AI services into the product layer.
• Ensure scalability, reliability, security, and performance.
• Troubleshoot frontend, backend, and production issues.
• Write clean, well-tested production code and participate in code reviews.
• Support cloud deployment, CI/CD, monitoring, and containerized apps.

Skills

Full-Stack

React.js

Golang

APIs

Databases

Cloud

Tools

PostgreSQL

MySQL

MongoDB

Docker

Job description

ELGO AI PTE. LTD. is seeking a hands-on Full Stack Software Engineer to build and scale its core platform and enterprise applications. You will work across frontend, backend, APIs, databases, integrations, and deployment infrastructure, collaborating with AI engineers to bring AI capabilities into the product layer.

The role requires ownership across the full software development lifecycle, from design to production support, with strong emphasis on reliability, security, and performance.