Skip to content
Palo It

AI-Native Engineer (Software Engineering)

PALO IT SingaporeHybrid · Singapore
FullTime · Technology
POSTED 20 NOV 2024VERIFIED 5H AGO
Apply Ask
Role
720 days opentrue age
Posted 20 Nov 2024
Pay
SGD 151k–SGD 261kno pay posted
Market p25–p75
SGD 151k–SGD 261k
Singapore · n=12 · 365d to 6 Nov
CompanyPalo It →
38open roles
Opened · 30d
+0
Closed · 30d
−0
3d of snapshots · 30d window
Market
37,612open · Software engineering
Opened · 7d
+2,1036% of open
All software engineering
75,149open
All tracked boards · live 10 Nov · n=37,612
ReactNode.jsPythonJavaAWSGCPAzureLLMs

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, every engineer is AI-Native. As an AI-Native Engineer (Software), you will design, build, and deliver production-grade applications while actively using AI and Generative AI as part of your daily engineering workflow.

You will work primarily with modern fullstack technologies for frontend and backend, with exposure to cloud platforms (Azure, AWS, GCP). You will apply Palo IT's Gen-E2 methodology to accelerate delivery, improve code quality, and build scalable, secure applications.

Key Responsibilities

Software Engineering & Development

Design, build, and maintain full stack applications using modern frameworks (ReactJS, NodeJS, Java, Python or equivalent)

Develop scalable, reliable, and secure applications following modern software engineering practices.

Implement CI/CD automation pipelines and understand DevOps workflows.

Ensure code quality through testing, code reviews, and performance optimisation.

AI-Native Engineering (Core Expectation)

Use Generative AI coding tools (e.g., GitHub Copilot, Cursor) as a first-class engineering assistant for:

Code scaffolding and refactoring

Code generation and optimisation

Test-cases and documentation generation

Build applications through AI-driven development practices, including:

AI-assisted debugging and troubleshooting

Intelligent code completion and pattern recognition

Automated documentation generation

Apply prompt engineering best practices for reliable, repeatable engineering outcomes.

Validate GenAI output (determinism checks, guardrails, fallback logic).

Collaboration & Delivery

Collaborate with project teams, product managers, and designers to deliver high-quality solutions.

Contribute to Gen-E2 practices, and internal playbooks.

Support solution discussions and technical discovery when required.

Must-Have Experience

3+ years of hands-on software development experience. Preferred technologies include ReactJS for frontend development and NodeJS/Java for backend development.

Understanding of relational and non-relational databases.

Experience with testing frameworks and code quality practices.

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 experience with GitHub Copilot or equivalent AI coding assistants.

Source · Palo ItFirst seen 2 NovOriginal ↗