Full Stack Engineer

Full Stack Engineer (AI Products & Platforms)

About Us
Established in 2010, Vinova is a passion-driven and award-winning development company for mobile, web, and enterprise applications. Our clients span the globe and cover a wide range of projects including IoT, blockchain, banking, fintech, networking, and ecommerce. Vinova earns respect from customers by being committed to quality, flexibility, and speed. We strive to build great products by working with passion, working closely with our customers, and through open but disciplined collaboration. You will be working in an encouraging and challenging environment, taking advantage of the latest technology to deliver high-impact digital solutions for global clients. You will be engaging clients in both on-site and off-site capacities.

What you will be working on
You will design, develop, deploy and maintain scalable, high-performance and secure web applications for a Singapore public sector agency, delivering digital and AI-enabled products. Working in an agile, DevOps-driven environment, you will contribute to the development, deployment and scaling of these products while ensuring high software quality, maintainability, security and continuous improvement.

Key responsibilities

• End-to-end ownership: Take full ownership of end-to-end application development, integrating frontend, backend, cloud infrastructure and AI services.
• Web applications: Design, develop and maintain responsive, accessible and performant web applications.
• Frontend architecture: Implement modern frontend architectures, ensuring reusability, scalability and security.
• Backend & APIs: Develop backend services and APIs, ensuring reliability, security and observability.
• Testing & quality: Ensure adequate automated test coverage and proactively fix bugs and defects.
• CI/CD: Optimize CI/CD deployment strategies, ensuring seamless and automated releases.
• DevOps & cloud: Automate infrastructure provisioning, monitoring and cloud deployments using DevOps best practices.
• Application security: Ensure application security, including authentication, authorization, API security and frontend security best practices.
• AI products: Own the delivery, enhancement and scaling of AI-enabled products in production.
• Continuous improvement: Continuously evaluate and adopt emerging technologies to improve application performance and developer productivity.

What we are looking for

Full stack development

• Degree or Diploma in Computer Science, Computer Engineering, Information Technology or related disciplines.
• Experience with Git and modern branching workflows.
• Strong proficiency in both frontend and backend development.
• Experience delivering production-ready web applications and digital products across the full lifecycle, including development, testing, deployment and production support.

Frontend

• JavaScript and TypeScript.
• Frontend frameworks such as React.js and/or Next.js.
• Experience building responsive and user-centric web applications.
• Familiarity with UI component libraries such as Material-UI or Tailwind CSS.

Backend

• Node.js (Express.js, NestJS) and/or Python (FastAPI, Flask, Django).
• Strong experience designing and developing RESTful APIs.
• Familiarity with GraphQL and WebSockets.
• Caching (e.g. Redis), API rate limiting and scalability patterns (horizontal scaling, load balancing).
• Experience integrating with enterprise systems and third-party platforms.

AI application development

• Hands-on experience building LLM-powered features in production, including retrieval-augmented generation (RAG), tool or function calling, and agent workflows.
• Experience implementing guardrails and evaluating LLM output quality.
• Proficient in using AI coding assistants with sound engineering discipline.

DevOps, cloud & infrastructure

• Experience with GitLab CI/CD pipelines and modern DevOps practices.
• Hands-on experience with AWS cloud services and architectures.
• Experience with containerization technologies such as Docker.
• Familiarity with application monitoring and observability tools.

Security

• Awareness of LLM-specific risks such as prompt injection and sensitive data leakage (e.g. OWASP Top 10 for LLM Applications).
• Experience implementing authentication and authorisation mechanisms (OAuth, JWT).
• Knowledge of API security and secure coding practices.
• Familiarity with cloud security concepts and OWASP Top 10.

Software quality & testing

• Experience with unit and integration testing.
• Experience with automated testing frameworks.
• Experience troubleshooting and resolving production issues.

Nice to have

• Experience delivering projects within the Singapore Government or Public Service sector.
• Familiarity with government security, governance and compliance requirements.
• Experience with Microsoft Copilot, Azure OpenAI or other enterprise AI platforms.
• Experience developing AI agents, copilots, chatbots or workflow automation solutions.
• Familiarity with Kubernetes and container orchestration platforms.

What we offer

• 14 days of annual leave, with up to 6 unused days carried forward.
• Paid sick leave (14 days) and hospitalization leave (up to 60 days).
• Paid public holidays, with off-in-lieu when a holiday falls on a non-working day.
• Group medical insurance covering outpatient and hospitalization.
• Marriage gift, newborn baby gift and bereavement allowance.
• Work equipment provided.
• Mentorship and direct coaching from senior management.
• Skill development through client projects using new technologies, plus workshops and seminars.
• A clear path to leadership roles in a growing company.
• Complimentary snacks and drinks in the office.