Senior AI Native Engineer (Software Engineering)

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-e2TM 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-e2TM, we deliver end-to-end products 2-3× faster than traditional approaches, while raising the bar for engineering excellence. YOUR ROLE At Palo IT, senior engineers are expected to be AI-native by default . As a Senior Software Engineer (AI-Native) , you will lead the development of complex features and modules while guiding team members on technical decisions and AI-assisted development practices. You will partner with Tech Leads, Architects, and cross-functional teams to deliver scalable solutions. You will apply Palo IT's Gen-E2 methodology to accelerate delivery and improve engineering quality.

Responsibilities

• Software Engineering & Development (Senior Scope)
• Lead the development of complex features, modules, and components.
• Design high-performance, scalable solutions using AI-powered approaches.
• Ensure code quality through testing, code reviews, and AI-assisted analysis.
• Understand DevOps workflows and implement CI/CD automation pipelines .
• Establish best practices on code quality and performance within project scope
• AI-Native Engineering (Core Expectation)
• Use Generative AI coding tools (e.g., GitHub Copilot, Cursor) as a first-class engineering assistant for code generation, optimisation, and problem-solving.
• Guide team members on effective use of AI tools and prompt engineering techniques.
• Establish AI/GenAI best practices within project scope, including output validation and guardrails.
• Leverage AI tools to troubleshoot and resolve technical issues efficiently.
• Stay current with emerging AI technologies and development practices.
• Collaboration & Technical Guidance
• Mentor junior and mid-level engineers on technical skills and AI-assisted workflows.
• Partner with Tech Leads and Architects to guide technical decisions within projects.
• Collaborate with product managers and designers to deliver high-quality solutions.
• Contribute to Gen-E2 practices , reusable accelerators, and internal playbooks.
• Support presales and architecture discussions when required.
• Must-Have Experience
• 5+ years of hands-on software development experience
• Deep technological expertise and a strong software development background.
• Experience with solution architecture .
• Experience in developing scalable, reliable, and secure applications .
• Preferred technologies include ReactJS for frontend development and NodeJS/Java/Python for backend development.
• 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, daily use of AI coding assistants (GitHub Copilot or equivalent).
• Strong understanding of prompt engineering principles for optimal AI tool interaction.
• Experience validating and controlling GenAI outputs (hallucination handling, code review of AI-generated code).
• Critical thinking to validate and verify AI-generated code and solutions.
• Good to Have
• Team leadership experience.
• Experience with AI/ML services and frameworks .
• Experience with cloud computing platforms (Azure, AWS, GCP).
• Native mobile development (iOS, Android) or hybrid mobile development (Flutter, React Native).
• What Success Looks Like at Palo IT
• You lead development of complex features with AI-native practices.
• You guide and mentor team members on technical skills and AI tools.
• You establish best practices with

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