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AI Native Engineer (Software Engineering)

External
paloit logoPaloit · Singapore
Full-timeOn-site2mo ago
AndroidAWSAzureCI/CDDocumentationFlutter
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About the role

Build. Scale. Sustain. We are a global technology consultancy with a trademarked, AI-first engineering approach for accelerating the delivery of digital products, and revolutionizing platform modernization. We do the right thing, and we do it right. We're proud to be a World Economic Forum New Champion, and a B Corp-certified company. We are small enough to care locally, big enough to deliver globally : 5 continents, 10 countries, +500 experts from +50 nationalities across the Americas, Europe and APAC We are robust and resilient : 100% independent and 0 debt We are entrepreneurs and passionate experts : We invest in what we believe genuinely and work as a collective intelligence We are positive, courageous, caring, doers and committed to excellence About Gen-e2 TM While the market is still largely AI-augmenting delivery, we have reinvented the SDLC to be AI First. Leveraging our 16 years expertise in digital transformation, our approach is a game-changer in productivity and quality, with a strong collaboration between IA generative and our best Talents: We now generate 95% of the entire product - code, documentation, infrastructure as code, and even design powered by GitHub Copilot. The quality consistently exceeds the output of our best traditional engineering teams. A product repository houses all product artefacts, giving AI full project context for higher-quality generation. A library of rules and prompts defines coding standards, design principles, and security guidelines, ensuring enterprise-grade quality and scalability. With Gen-e2 TM , we deliver end-to-end products 2-3× faster than traditional approaches, while raising the bar for engineering excellence. YOUR ROLE At Palo IT, every engineer is AI-native. As a Software Engineer (AI-Native) , 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.

Responsibilities

  • Software Engineering & Development
  • 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 , reusable accelerators , 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).
  • 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 an

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