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Senior AI Native Engineer (Software Engineering)
Исключительная вакансия для тех, кто хочет быть на острие технологий. Palo IT предлагает работу в инновационной среде с уникальной методологией Gen-E2, международную мобильность и статус B Corp, что подчеркивает этичность и престиж компании.
Сложность вакансии
Высокая сложность обусловлена требованием не просто владеть стеком (React/Node.js), но и иметь глубокий практический опыт работы с AI-инструментами (GitHub Copilot, Cursor) и промпт-инжинирингом на уровне Senior. От кандидата ожидается умение переосмыслить традиционный цикл разработки в пользу AI-first подхода.
Анализ зарплаты
Зарплата не указана, но для позиции Senior Software Engineer в Сингапуре рыночный диапазон составляет от 8,000 до 13,000 SGD в месяц. Учитывая узкую специализацию в AI-native разработке, компенсация может быть выше среднего по рынку.
Сопроводительное письмо
I am writing to express my strong interest in the Senior AI Native Engineer position at Palo IT. With over 5 years of experience in software development and a deep-seated passion for integrating Generative AI into the SDLC, I am impressed by your Gen-E2 methodology and the goal of generating 95% of product artifacts through AI. My background in building scalable solutions with React and Node.js, combined with my daily use of GitHub Copilot and Cursor, aligns perfectly with your 'AI-native by default' philosophy.
In my previous roles, I have not only focused on writing high-quality code but also on mentoring teams to adopt AI-assisted workflows and prompt engineering. I am particularly drawn to Palo IT's commitment as a B Corp and your focus on sustainable, high-impact technology. I am confident that my technical expertise and proactive approach to AI validation and hallucination handling will contribute significantly to your engineering excellence and the success of your global clients.
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Описание вакансии
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 Software Engineer (AI-Native), 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.
- 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
- Team leadership experience.
- 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).
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 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.
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Навыки
- React
- Node.js
- Java
- Python
- GitHub Copilot
- Generative AI
- Prompt Engineering
- Software Architecture
- CI/CD
- DevOps
- TypeScript
- AWS
- Azure
- Google Cloud Platform
Возможные вопросы на собеседовании
Проверка практического опыта использования AI-инструментов в разработке.
Расскажите о вашем ежедневном рабочем процессе с использованием GitHub Copilot или Cursor: как именно вы проверяете и валидируете сгенерированный код?
Оценка навыков промпт-инжиниринга для решения сложных задач.
Приведите пример сложной архитектурной задачи, которую вы решили с помощью AI. Как вы структурировали промпты, чтобы получить качественный результат?
Проверка лидерских качеств и способности обучать команду новым методологиям.
Как бы вы обучали Middle-разработчика, который скептически относится к AI-native подходу, эффективно использовать GenAI в работе?
Оценка критического мышления и безопасности.
С какими рисками безопасности или галлюцинациями AI вы сталкивались при генерации кода и какие стратегии защиты вы применяли?
Проверка архитектурного бэкграунда.
Как использование AI-native подхода меняет ваше проектирование масштабируемых систем по сравнению с традиционной разработкой?
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