Full Stack Engineer - Turn Promising AI Prototypes into Real Solutions for Government - Contract

NEXBRIDGE RECRUITMENT PTE. LTD.; Singapore; On-site; SGD 70,000 - 110,000; Full time

Job summary

NEXBRIDGE RECRUITMENT PTE. LTD. is seeking a skilled full-stack engineer to support multi-squad development for government AI projects in Singapore. You will contribute to frontend and backend work, APIs, and integrations while advancing deployment automation and observability.

The role emphasizes rapid prototyping, productionising fixes, and close collaboration with product teams to deliver reliable, scalable software in a fast-moving environment.

Qualifications

• Degree in Information Systems, Computer Science or Computer Engineering preferred
• Experience building and deploying full-stack web applications
• Experience with software engineering practices including Git, automated testing and code review
• Experience with DevOps and deployment tooling, such as Docker, CI/CD platforms and cloud or container-based environments
• Proficiency in modern front-end and back-end technologies, such as React / TypeScript and Python-based frameworks
• Familiarity with logging, monitoring and application observability
• Strong debugging and problem-solving skills
• Experience building or deploying AI-enabled applications, LLM-based workflows or agentic systems is an advantage
• Able to work independently across several projects and operate effectively in an ambiguous, fast-moving environment
• Strong sense of ownership and willingness to work directly with product teams and users to get solutions into actual use

Responsibilities

• Support full-stack application development across the front-end, back-end, APIs and integrations where required
• Refactor and productionise prototypes built rapidly by forward-deployed teams, improving code quality, structure, maintainability and reliability
• Set up and maintain development, testing and deployment environments
• Implement and improve CI/CD pipelines, containerisation and deployment automation
• Set up logging, monitoring, observability and alerting to support applications during pilots and deployment
• Develop and execute unit, integration, regression and end-to-end tests
• Reproduce, investigate and resolve bugs and technical issues found during user testing and live pilots
• Work closely with PMs, other engineers and agency users to resolve implementation issues quickly
• Support 4-5 product squads working with government agencies to redesign workflows and build AI-enabled solutions

Skills

Full-stack development

Problem-solving

Independence

Education

Degree in Information Systems/CS/CE

Tools

Docker

Git

CI/CD platforms

React

TypeScript

Python

Job description

Job Responsibilities

• Support full-stack application development across the front-end, back-end, APIs and integrations where required
• Refactor and productionise prototypes built rapidly by forward-deployed teams, improving code quality, structure, maintainability and reliability
• Set up and maintain development, testing and deployment environments
• Implement and improve CI/CD pipelines, containerisation and deployment automation
• Set up logging, monitoring, observability and alerting to support applications during pilots and deployment
• Develop and execute unit, integration, regression and end-to-end tests
• Reproduce, investigate and resolve bugs and technical issues found during user testing and live pilots
• Work closely with PMs, other engineers and agency users to resolve implementation issues quickly
• Support 4-5 product squads working with government agencies to redesign workflows and build AI-enabled solutions

Job Requirements

• Degree in Information Systems, Computer Science or Computer Engineering preferred
• Experience building and deploying full-stack web applications
• Experience with software engineering practices including Git, automated testing and code review
• Experience with DevOps and deployment tooling, such as Docker, CI/CD platforms and cloud or container-based environments
• Proficiency in modern front-end and back-end technologies, such as React / TypeScript and Python-based frameworks
• Familiarity with logging, monitoring and application observability
• Strong debugging and problem-solving skills
• Experience building or deploying AI-enabled applications, LLM-based workflows or agentic systems is an advantage
• Able to work independently across several projects and operate effectively in an ambiguous, fast-moving environment
• Strong sense of ownership and willingness to work directly with product teams and users to get solutions into actual use