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, Forward Deployed Engineers are expected to be AI-Native by default and act as technical authorities for their teams and projects. As a Forward Deployed Engineer, 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 with cloud computing platforms (Azure, AWS, GCP).
- Mobile development experience (Swift for iOS, Android, native or hybrid).
- Certification in Claude AI (Anthropic) is a plus.
What Success Looks Like at Palo IT
- You lead high-performing, AI-Native teams.
- You own technical direction and deliver production-grade applications with excellence.
- You define and enforce best practices across teams and projects.
- You grow people, platforms, and impact — together.
- You elevate Palo IT's Gen-E2 maturity across teams and clients.
We will be prioritizing applicants who have a current right to work in Singapore, and do not require sponsorship of a visa.
More About PALO IT
We’re eager to adapt to change, learn from our experiences and move to meet our planet’s urgent needs. We are continuously taking action to:
- Become a climate net-zero company
- Deliver projects with a positive impact
- Train 100% of our workforce on impact
- Achieve B Corp certification among all our offices across the globe
- Continuously measure & improve employee happiness
Our clients are amongst the world's most successful companies. We innovate with both established Fortune 1000s, SMEs and start-ups who aim to make an impact, become global leaders and address the world's most complex challenges.
What We Offer
- 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.
PALO IT Singapore is an equal opportunity employer. Employment decisions will be based on merit, qualifications and abilities. Palo IT SG does not discriminate in employment opportunities or practices on the basis of race, colour, religion, sex, sexuality, national origin, age, disability, marital status or any other characteristics protected by law.
Protecting your privacy and the security of your data are longstanding top priorities for Palo-IT.
Your personal data will be processed for the purposes of managing Palo-IT’s recruitment related activities, which include setting up and conducting interviews and tests for applicants, evaluating and assessing the results, and as is otherwise needed in the recruitment and hiring processes.
Please consult our Privacy Notice to know more about how we collect, use, and transfer the personal data of our candidates. Here you can find how you can request for access, correction and/or withdrawal of your Personal Data.