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Open nowPosted 562 days ago

Senior AI-Native Engineer (Software Engineering)

PALO IT35 open roles

Where
PALO IT Singapore
Work mode
Hybrid
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Your applicationOpen nowSenior AI-Native Engineer (Software Engineering)PALO IT · PALO IT Singapore

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on PALO IT's own form.

The reply lands in your private mailbox

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The clock on this job

Early applications get read.

13.9% of postings close within 7 days. Measured by our own scanner across the market. PALO IT postings stay open a median of 24 days.

Share of postings closed within
  1. 2.2%1 day
  2. 4.7%3 days
  3. 13.9%7 days
  4. 22.4%14 days
  5. 38.1%30 days
  6. 59.0%60 days
This job: posted 562 days ago

PALO IT median: 24 days open

The posting

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).

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

- 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).

- Certification in Claude AI (Anthropic) is a plus.

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 within your projects.

- You contribute to Palo IT's Gen-E2 maturity across projects.

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 https://www.palo-it.com/en/work 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 https://www.palo-it.com/en/career

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 https://www.palo-it.com/en/privacy-policy 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.

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