Lead AI Native Engineer (Software Engineering)

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, technical leads are expected to be AI-native by default and act as technical authorities for their teams and projects. As a Technical Lead (AI-Native), you will own the technical direction and project execution for engineering teams while actively embedding AI and Generative AI into how teams work by default.

You will lead and manage a team of engineers, providing full-stack expertise, establishing best practices, and ensuring delivery excellence. Working closely with clients, project teams, and business stakeholders, you will shepherd technical decision-making and provide thought-leadership through both traditional development practices and AI-augmented workflows.

You will apply Palo IT's Gen-E2 methodology to drive quality, speed, and responsible AI adoption across projects and teams.

 

Key Responsibilities

Technical Leadership & Delivery Ownership

• Own the technical direction and roadmap for engineering projects.
• Provide full-stack expertise to the engineering team and establish best practices on code quality and performance.
• Shepherd technical decision-making process and provide thought-leadership.
• Provide architecture-level and code-level feedback for the engineering team.
• Build confidence in project delivery through automated testing, continuous integration, monitoring and analytics.
• Monitor project progress and delivery quality across teams.
• Ensure timelines, outcomes, and engineering standards are met.

 

AI-Native & Gen-E2 Leadership (Core Expectation)

• Champion AI-native ways of working across the team, including AI-assisted development, testing, and documentation.
• Define and enforce AI/GenAI best practices, including:
• Prompt and context engineering standards
• Output validation, guardrails, and fallback strategies
• Code review standards for AI-generated code
• Stay current with emerging GenAI trends and tools and translate them into practical, value-driven implementations.
• Act as a technical authority and coach on Gen-E2 practices and responsible AI/GenAI adoption.

 

People Leadership & Team Management

• Lead and mentor a team of engineers to deliver high-quality code and projects.
• Provide technical guidance, coaching, and career development planning for team members.
• Manage performance through clear goal setting, regular feedback and reviews, and identification of growth opportunities.
• Foster a collaborative, innovative, and learning-driven culture.
• Recruit and build high-performing engineering teams.

 

Consulting, Clients & Growth

• Collaborate with clients to understand business problems, design solutions, and lead implementation.
• Partner with Sales and Presales teams to shape proposals, solution approaches, and contribute to technical responses and estimations.
• Contribute to reusable assets, accelerators, and frameworks to scale delivery efficiency.
• Support Palo IT thought leadership through research, experimentation, and publication.

 

Must-Have Experience

• 10+ years of hands-on software development experience including recent experience in client and team management.
• Proven experience leading and mentoring engineering teams.
• Deep technological expertise in fullstack development. Preferred technologies include ReactJS for frontend development and NodeJS/Java/Python for backend development.
• Experience in developing scalable, reliable, and secure applications.
• Experience with solution architecture.
• Strong understanding of common programming patterns and principles.
• Excellent communication and stakeholder management skills.
• 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, Cursor or equivalent).
• Strong grasp of prompt and context engineering for engineering workflows.
• Proven experience defining and enforcing GenAI best practices across teams.
• Ability to coach and mentor teams on effective and responsible AI tool usage.
• Critical thinking to validate and verify AI-generated code and solutions.

Good to Have

• Experience with any emerging technologies (Decentralised Identity, Realtime-cross border payment, Quantum computing, Advanced Smart Contract etc..).
• Experience with AI/ML services and frameworks.
• Experience