AI-Native Engineer (Software Engineering)

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.

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