Who We Are

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 AI-Native Engineer (Software), 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.

Key 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.

Team leadership experience.

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).