PALO IT - Lead AI Native Engineer (Software Engineering)
Requirements
• 10+ years of hands-on software development experience including recent experience in client and team management. • 10+ years • including recent experience in client and team management • Proven experience leading and mentoring engineering teams. • 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. • fullstack development • ReactJS • NodeJS/Java/Python • Experience in developing scalable, reliable, and secure applications. • scalable, reliable, and secure applications • Experience with solution architecture. • solution architecture • Strong understanding of common programming patterns and principles. • programming patterns and principles • Excellent communication and stakeholder management skills. • Excellent communication and stakeholder management skills • Demonstrated use of AI tools in day-to-day engineering work (not just theoretical exposure). • AI tools in day-to-day engineering work • Hands-on, daily use of AI coding assistants (GitHub Copilot, Cursor or equivalent). • Hands-on, daily use • Strong grasp of prompt and context engineering for engineering workflows. • prompt and context engineering • Proven experience defining and enforcing GenAI best practices across teams. • Proven experience defining and enforcing • Ability to coach and mentor teams on effective and responsible AI tool usage. • coach and mentor teams • 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. • AI/ML services and frameworks • Experience with cloud computing platforms (Azure, AWS, GCP). • cloud computing platforms • Mobile development experience (Swift for iOS, Android, native or hybrid). • Mobile development • What Success Looks Like at Palo IT • You lead high-performing, AI-native teams. • lead high-performing, AI-native teams • You own technical direction and deliver production-grade applications with excellence. • own technical direction • You define and enforce best practices across teams and projects. • define and enforce best practices • You grow people, platforms, and impact — together. • grow people, platforms, and impact • You elevate Palo IT's Gen-E2 maturity across teams and clients. • Gen-E2 maturity
Responsibilities
• 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. • AI-native by default • technical authorities • Technical Lead (AI-Native) • 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. • shepherd technical decision-making • thought-leadership • You will apply Palo IT's Gen-E2 methodology to drive quality, speed, and responsible AI adoption across projects and teams. • Gen-E2 methodology • Technical Leadership & Delivery Ownership • Own the technical direction and roadmap for engineering projects. • Own the technical direction and roadmap • Provide full-stack expertise to the engineering team and establish best practices on code quality and performance. • Provide full-stack expertise • Shepherd technical decision-making process and provide thought-leadership. • Shepherd technical decision-making process • Provide architecture-level and code-level feedback for the engineering team. • Provide architecture-level and code-level feedback • Build confidence in project delivery through automated testing, continuous integration, monitoring and analytics. • Build confidence in project delivery • Monitor project progress and delivery quality across teams. • Monitor project progress and delivery quality • Ensure timelines, outcomes, and engineering standards are met. • timelines, outcomes, and engineering standards • AI-Native & Gen-E2 Leadership (Core Expectation) • Champion AI-native ways of working across the team, including AI-assisted development, testing, and documentation. • Champion AI-native ways of working • Define and enforce AI/GenAI best practices, including: • Define and enforce AI/GenAI best practices • 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. • Stay current with emerging GenAI trends and tools • Act as a technical authority and coach on Gen-E2 practices and responsible AI/GenAI adoption. • Act as a technical authority and coach • People Leadership & Team Management • Lead and mentor a team of engineers to deliver high-quality code and projects. • Lead and mentor a team of engineers • Provide technical guidance, coaching, and career development planning for team members. • technical guidance, coaching, and career development planning • Manage performance through clear goal setting, regular feedback and reviews, and identification of growth opportunities. • Manage performance • Foster a collaborative, innovative, and learning-driven culture. • Foster a collaborative, innovative, and learning-driven culture • Recruit and build high-performing engineering teams. • Recruit and build • Consulting, Clients & Growth • Collaborate with clients to understand business problems, design solutions, and lead implementation. • Collaborate with clients • Partner with Sales and Presales teams to shape proposals, solution approaches, and contribute to technical responses and estimations. • Partner with Sales and Presales teams • Contribute to reusable assets, accelerators, and frameworks to scale delivery efficiency. • Contribute to reusable assets, accelerators, and frameworks • Support Palo IT thought leadership through research, experimentation, and publication. • thought leadership
Benefits
• Stimulating working environments • Unique career path • International mobility • Internal R&D projects • Knowledge sharing • Personalized training • Entrepreneurship & intrapreneurship • For more on our team culture and benefits, check out our careers page.
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