Full Stack Engineer

XTREMAX PTE. LTD.; Singapore; On-site; SGD 90,000 - 140,000; Full time

Job summary

XTREMAX PTE. LTD. is seeking a hands-on Software Engineer with strong AI engineering capabilities to build production AI systems and work with teams using them.

The role covers full-stack development, LLM applications, evaluation, observability, deployment, and customer-facing technical delivery. Accessibility experience is not required, but willingness to develop expertise in WCAG standards is expected. You will design, develop, and maintain features for government product teams, build

Qualifications

• Proven experience designing scalable software systems.
• Strong React.js, TypeScript, Node.js and browser architecture knowledge.
• Experience building LLM workflows with RAG and agents.
• Experience with CI/CD, testing, and observability.
• Strong debugging and troubleshooting skills.
• Excellent communication with stakeholders.

Responsibilities

• Design, develop, and maintain features for government product teams with accessibility and performance.
• Develop full-stack features across frontend, backend, APIs, data, and AI systems.
• Build production-grade AI-powered applications and developer tools.
• Utilise CI/CD pipelines for deployments.
• Develop API specs, troubleshooting guides, and system architecture diagrams.
• Translate customer feedback into product improvements.
• Provide L1/L2 support with Product Management.
• Collaborate with government teams on discovery, demos, PoCs, onboarding, integrations, and troubleshooting.
• Gain knowledge debugging WCAG accessibility issues on production websites.

Skills

React.js

TypeScript

Node.js

LLM workflows

RAG

tool calling

structured outputs

agents

human-in-the-loop

observability

CI/CD

testing automation

Tools

Docker

Infrastructure as Code

Bash scripting

Job description

About the Role:

We are looking for a hands-on Software Engineer with strong AI engineering capabilities who can build production AI systems and work directly with the teams using them. This role spans full-stack development, LLM applications, evaluation, observability, deployment, and customer-facing technical delivery .Accessibility experience is not required, but you should be willing to develop expertise in digital accessibility and WCAG standards.

Responsibilities:

• Design, develop, and maintain high-quality features and services for government product teams, ensuring accessibility and performance.
• Develop full-stack features across frontend, backend, APIs, data, and AI systems.
• Design and build production-grade applied AI-powered applications and developer tools.
• Utilise CI/CD pipelines to ensure seamless, reliable, and high-quality deployments.
• Develop and maintain technical documentation, including API specs, troubleshooting guides, and system architecture diagrams.
• Translate customer feedback and production issues into reusable product improvements.
• Work alongside Product Management to provide L1/L2 support to customers we serve.
• Work directly with government teams on discovery, demos, Proof-of-Concepts, architecture discussions, onboarding, integrations, and troubleshooting.
• Gain knowledge debugging and remediating WCAG accessibility issues on production websites.

Requirements:

• Proven experience in designing and building scalable, reliable, and maintainable software systems.
• Strong proficiency in modern software development (e.g., React.js, TypeScript, Node.js) and a deep understanding of browser architecture.
• Build LLM workflows using RAG, tool calling, structured outputs, agents, and human-in-the-loop patterns.
• Build evaluation pipelines using golden datasets, regression tests, deterministic evaluators, and LLM-as-a-judge.
• Implement observability, monitoring, guardrails, fallbacks, and validation for reliable AI systems.
• Balance model quality, latency, reliability, maintainability, and cost.
• Maintain automated tests, CI/CD pipelines, and technical documentation.
• Hands-on experience with quality engineering practices, including automated testing (unit, integration, E2E) and test automation frameworks.
• Solid grasp of CI/CD, infrastructure concepts, and agile engineering practices.
• Strong troubleshooting and debugging skills, with an ability to analyze complex system behaviors and logs.
• Excellent communication skills to explain technical trade-offs and quality standards to diverse stakeholders.

Bonus Pointsto Have:

• Docker, Infrastructure as Code and Bash scripting knowledge.
• Passion for building inclusive technology and a willingness to apply or develop expertise in WCAG 2.2 standards and assistive technologies.
• Willingness to learn knowledge of digital accessibility, including digital accessibility regulations & Web Content Accessibility Guidelines (WCAG) 2.2 Level A and AA requirements, learn how to use screen readers such as VoiceOver, NVDA and TalkBack.
• Experience writing code that meets accessibility standards such as the Web Content Accessibility Guidelines (WCAG).
• Candidates with more than 7 years of relevant experience in software engineering may be considered for senior positions.