PALO IT - Fullstack Software Engineer (With AI Tools Experience)
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Requirements
• As our company transitions into an AI-focused firm, all developers are expected to demonstrate proficiency in AI-augmented development practices. We are looking for a creative, self-motivated individual with the following qualifications and qualities: • Deep technological expertise and a strong software development background. • Experience in developing scalable, reliable, and secure applications • Proficiency in working with AI coding assistants (e.g., GitHub Copilot, Cursor, ...) for code generation and problem-solving. • Understanding of prompt engineering principles for optimal AI tool interaction. • Ability to effectively collaborate with AI tools while maintaining code quality and adherence to best practices. • Critical thinking to validate and verify AI-generated code and solutions. • Adaptability and willingness to continuously learn and stay updated with the rapidly evolving AI landscape. • Excellent interpersonal and cross-group collaboration skills. • Independent thinker with a strong work ethic. • Detail-oriented and excellent organisational skills. • Possess excellent communication skills. • Strong understanding of common programming patterns and principles. • Strong team player. • Strong troubleshooting skills and ability to meet deadlines. • At least 3 years of relevant experience. Preferred technologies include ReactJS for frontend development and NodeJS/Java for backend development. • ReactJS for frontend development and NodeJS/Java • Candidates with experience in one or more of the following are preferred: • Solution Architecture • AI/ML Services and Frameworks • Cloud Computing Platforms (Azure, AWS, GCP, etc...) • Cloud Computing Platforms • Native Mobile Development (iOS, Android) • Hybrid Mobile Development (Flutter, React Native) • We will be prioritizing applicants who have a current right to work in Singapore, and do not require sponsorship of a visa.
Responsibilities
• At Palo IT, every engineer is AI-native. As a Software Engineer (AI-Native), you will design, build, and deliver production-grade applications while actively using AI and Generative AI as part of your daily engineering workflow. • Software Engineer (AI-Native) • 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. • frontend • backend • Gen-E2 methodology • Software Engineering & Development • Design, build, and maintain full stack applications using modern frameworks (ReactJS, NodeJS, Java, Python or equivalent) • full stack applications • Develop scalable, reliable, and secure applications following modern software engineering practices. • scalable, reliable, and secure applications • Implement CI/CD automation pipelines and understand DevOps workflows. • CI/CD automation pipelines • Ensure code quality through testing, code reviews, and performance optimisation. • 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: • Generative AI coding tools • Code scaffolding and refactoring • Code generation and optimisation • Test-cases and documentation generation • Build applications through AI-driven development practices, including: • AI-driven development practices • AI-assisted debugging and troubleshooting • Intelligent code completion and pattern recognition • Automated documentation generation • prompt engineering best practices • Validate GenAI output (determinism checks, guardrails, fallback logic). • GenAI output • Collaboration & Delivery • Collaborate with project teams, product managers, and designers to deliver high-quality solutions. • Contribute to Gen-E2 practices, reusable accelerators, and internal playbooks. • Gen-E2 practices • Support solution discussions and technical discovery when required.
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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