AI Native Engineer (Software Engineering)
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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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