Senior Full-Stack Engineer (Digital and AI products) - 1706

Full Stack Engineer (AI Products & Platforms) The Full Stack Engineer is responsible for designing, developing, deploying, and maintaining scalable, high-performance, and secure web applications. The role requires strong software engineering fundamentals and experience delivering digital and AI-enabled products. Engineers must work in an agile, DevOps-driven environment, contributing to the development, deployment, and scaling of these products while ensuring high software quality, maintainability, security, and continuous improvement. Take full ownership of end-to-end application development, integrating frontend, backend, cloud infrastructure, and AI services. • Design, develop, and maintain responsive, accessible, and performant web applications. • Implement modern frontend architectures, ensuring reusability, scalability, and security. • Develop backend services and APIs, ensuring reliability, security, and observability. • Ensure adequate automated test coverage and proactively fix bugs and defects. • Optimize CI/CD deployment strategies, ensuring seamless and automated releases. • Automate infrastructure provisioning, monitoring, and cloud deployments using DevOps best practices. • Ensure application security, including authentication, authorization, API security, and frontend security best practices. • Own the delivery, enhancement, and scaling of AI-enabled products in production. • Continuously evaluate and adopt emerging technologies to improve application performance and developer productivity. EXPERIENCE AND SKILLS NEEDEDFull 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 Technologies • 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 Technologies • 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, and Infrastructure • Experience with GitLab CI/CD pipelines and modern DevOps practices. • Hands-on experience with AWS cloud services and architectures. • Experience with containerisation technologies such as Docker. • Familiarity with application monitoring and observability tools. Security Best Practices • 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 authorization 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. Bonus Experience (Added Advantage) • 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. #J-18808-Ljbffr