AI-Native Engineer (Software Engineering)

PALO IT; Singapore; On-site; SGD 90,000 - 150,000; Full time

Benefits offered by this job

Stimulating environment

Unique career path

International mobility

Internal R&D projects

Knowledge sharing

Personalized training

Entrepreneurship & intrapreneurship

Job summary

Palo IT Singapore is seeking an AI‑Native Engineer (Software) to design, build, and deliver production‑grade applications. You will work with modern full‑stack technologies and leverage Generative AI as a core part of your daily workflow.

Expect exposure to cloud platforms like Azure, AWS, and GCP, plus Gen‑E2 methodologies for faster, higher‑quality delivery. Key responsibilities include building scalable, secure apps, implementing CI/CD pipelines, and collaborating with product teams to

Qualifications

• 3+ years of hands-on software development experience.
• Frontend experience with ReactJS; backend with NodeJS/Java.
• Understanding of relational and non-relational databases.
• Experience with testing frameworks and code quality practices.
• Demonstrated use of AI tools in day-to-day engineering work.

Responsibilities

• Design, build, and maintain full stack applications using modern frameworks (ReactJS, NodeJS, Java, Python or equivalent).
• Develop scalable, reliable, and secure applications following modern software engineering practices.
• Implement CI/CD automation pipelines and understand DevOps workflows.
• Ensure code quality through testing, code reviews, and performance optimisation.
• Collaborate with project teams, product managers, and designers to deliver high-quality solutions.
• Contribute to Gen‑E2 practices and internal playbooks.
• Support solution discussions and technical discovery when required.

Skills

ReactJS

NodeJS

Java

Python

AI coding tools

GenAI

Tools

GitHub Copilot

Azure

AWS

GCP

CI/CD pipelines

Job description

YOUR ROLE

At Palo IT, every engineer is AI‑Native. As an AI‑Native Engineer (Software), you will design, build, and deliver production‑grade applications while actively using AI and Generative AI as part of your daily engineering workflow. You will work primarily with modern fullstack technologies for frontend and backend, with exposure to cloud platforms (Azure, AWS, GCP). You will apply Palo IT's Gen‑E2 methodology to accelerate delivery, improve code quality, and build scalable, secure applications.

Key Responsibilities

• Design, build, and maintain full stack applications using modern frameworks (ReactJS, NodeJS, Java, Python or equivalent)
• Develop scalable, reliable, and secure applications following modern software engineering practices
• Implement CI/CD automation pipelines and understand DevOps workflows
• Ensure code quality through testing, code reviews, and performance optimisation

AI‑Native Engineering (Core Expectation)

• Use Generative AI coding tools (e.g., GitHub Copilot, Cursor) as a first‑class engineering assistant for:
  • Code scaffolding and refactoring
  • Code generation and optimisation
  • Test‑cases and documentation generation
• Build applications through AI‑driven development practices, including:
  • AI‑assisted debugging and troubleshooting
  • Intelligent code completion and pattern recognition
  • Automated documentation generation
  • Apply prompt engineering best practices for reliable, repeatable engineering outcomes
  • Validate GenAI output (determinism checks, guardrails, fallback logic)

  Collaboration & Delivery

  • Collaborate with project teams, product managers, and designers to deliver high‑quality solutions
  • Contribute to Gen‑E2 practices and internal playbooks
  • Support solution discussions and technical discovery when required

  Must‑Have Experience

  • 3+ years of hands‑on software development experience. Preferred technologies include ReactJS for frontend development and NodeJS/Java for backend development
  • Understanding of relational and non‑relational databases
  • Experience with testing frameworks and code quality practices
  • Strong understanding of common programming patterns and principles
  • Demonstrated use of AI tools in day‑to‑day engineering work (not just theoretical exposure)

  AI‑Native & Gen‑E2 Skills (Required)

  • Hands‑on experience with GitHub Copilot or equivalent AI coding assistants
  • Ability to build and evolve applications using GenAI assistance
  • Strong understanding of prompt engineering for technical use cases
  • Experience validating and controlling GenAI outputs (hallucination handling, code review of AI‑generated code)
  • Critical thinking to verify AI‑generated code and solutions

  Good to Have

  • Experience with cloud computing platforms (Azure, AWS, GCP)
  • Experience with solution architecture principles
  • Exposure to AI/ML services and frameworks
  • Native mobile development (iOS, Android) or hybrid mobile development (Flutter, React Native)
  • Certification in Claude AI (Anthropic) is a plus

  What Success Looks Like At Palo IT

  • You deliver high‑quality, production‑grade applications using AI‑native practices
  • You leverage AI tools effectively while maintaining code quality and best practices
  • You contribute to Palo IT's Gen‑E2 maturity across projects and teams
  • You continuously learn and adapt to the rapidly evolving AI landscape

  What We Offer

  • Stimulating working environments
  • Unique career path
  • International mobility
  • Internal R&D projects
  • Knowledge sharing
  • Personalized training
  • Entrepreneurship & intrapreneurship

  PALO IT Singapore is an equal opportunity employer. Employment decisions will be based on merit, qualifications and abilities. Palo IT SG does not discriminate in employment opportunities or practices on the basis of race, colour, religion, sex, sexuality, national origin, age, disability, marital status or any other characteristics protected by law.

  Protecting your privacy and the security of your data are longstanding top priorities for Palo‑IT. Your personal data will be processed for the purposes of managing Palo‑IT’s recruitment related activities, which include setting up and conducting interviews and tests for applicants, evaluating and assessing the results, and as is otherwise needed in the recruitment and hiring processes. Please consult our Privacy Notice to know more about how we collect, use, and transfer the personal data of our candidates. Here you can find how you can request for access, correction and/or withdrawal of your Personal Data.