Junior Software Engineer (AI)

ScienTec Consulting Pte. Ltd.; Singapore; Hybrid; SGD 90,000 - 130,000; Full time

Job summary

ScienTec Consulting Pte. Ltd. is seeking a capable full-stack developer to build and maintain web applications, APIs, and system integrations in a Hybrid Central Singapore setup.

You will refactor prototypes, implement and optimize CI/CD pipelines, configure logging and observability, and ensure quality through rigorous testing, collaboration with product managers, engineers, and stakeholders to deliver scalable, reliable solutions.

Qualifications

• Degree in CS/CE/IS or related discipline preferred.
• Hands-on experience in developing and deploying full-stack web applications.
• Proficiency in React, TypeScript, Python, or similar modern front-end and back-end technologies.
• Experience with Docker, CI/CD pipelines, Git, and cloud or container-based deployment environments.
• Familiarity with automated testing, code reviews, logging, monitoring, and observability.
• Strong debugging, troubleshooting, and problem-solving capabilities.
• Ability to work independently across multiple projects in a fast-paced environment.
• Strong communication skills and a proactive, ownership-driven mindset.

Responsibilities

• Develop and maintain full-stack web applications, including front-end, back-end, APIs, and system integrations.
• Refactor and productionise prototypes to improve code quality, scalability, maintainability, and reliability.
• Set up and manage development, testing, and deployment environments.
• Implement and optimise CI/CD pipelines, containerisation, and deployment automation.
• Configure application logging, monitoring, observability, and alerting.
• Conduct unit, integration, regression, and end-to-end testing to ensure application quality.
• Troubleshoot and resolve technical issues during user testing, pilots, and production deployment.
• Collaborate with product managers, engineers, and stakeholders to deliver effective technical solutions.

Skills

Full-stack development

React

TypeScript

Python

CI/CD pipelines

Docker

Testing

Problem solving

Independent work

Communication

Education

Bachelor's degree in Computer Science/Computer Engineering/Information Systems or related discipline

Tools

Git

Docker

CI/CD tooling

Job description

Location: Central (Hybrid working arrangement)

Job Type: Full-Time Contract (Subjected to renewal / conversion)

Key Responsibilities

• Develop and maintain full-stack web applications, including front-end, back-end, APIs, and system integrations.


• Refactor and productionise prototypes to improve code quality, scalability, maintainability, and reliability.


• Set up and manage development, testing, and deployment environments.


• Implement and optimise CI/CD pipelines, containerisation, and deployment automation.


• Configure application logging, monitoring, observability, and alerting.


• Conduct unit, integration, regression, and end-to-end testing to ensure application quality.


• Troubleshoot and resolve technical issues during user testing, pilots, and production deployment.


• Collaborate with product managers, engineers, and stakeholders to deliver effective technical solutions.

Job Requirements

• Degree in Computer Science, Computer Engineering, Information Systems, or a related discipline preferred.


• Hands‑on experience in developing and deploying full‑stack web applications.


• Proficiency in React, TypeScript, Python, or similar modern front‑end and back‑end technologies.


• Experience with Docker, CI/CD pipelines, Git, and cloud or container‑based deployment environments.


• Familiarity with automated testing, code reviews, logging, monitoring, and application observability.


• Strong debugging, troubleshooting, and problem‑solving capabilities.


• Ability to work independently across multiple projects in a fast‑paced environment.


• Strong communication skills and a proactive, ownership‑driven mindset.

Good to Have

• Experience developing or deploying AI‑enabled applications, Large Language Models (LLMs), or agentic AI workflows.


• Exposure to rapid prototyping, application productionisation, and working directly with end users