Full Stack Engineer - AI focused - 1676

About the Role We are looking for a Full Stack Software Engineer with an AI focus to join our technology team in building secure, scalable and user-centric digital solutions that deliver meaningful outcomes for citizens, businesses and public officers. You will work across the full software development lifecycle - from solution design and architecture through development, testing, deployment and production support. You will also play a key role in applying Artificial Intelligence, Generative AI and Machine Learning to enhance digital services, automate processes and enable data-driven decision making. This role is ideal for an engineer who enjoys solving complex problems, building production-grade applications and translating emerging AI capabilities into practical solutions. Key Responsibilities Full Stack Engineering • Design, develop and maintain scalable web applications and digital services across the front end and back end. • Build intuitive, accessible and responsive user interfaces using modern web technologies. • Develop secure, reliable and well-documented APIs and backend services. • Design and work with relational and NoSQL databases, data models and integration services. • Integrate applications with internal systems, government platforms and third-party services. • Write clean, maintainable, testable and production-ready code. • Participate in code reviews, technical design discussions and engineering best practices. • Troubleshoot production issues and continuously improve application performance, reliability and scalability. AI / Generative AI • Design and develop AI-powered features and applications using technologies such as LLMs, Generative AI, RAG, AI agents and Machine Learning. • Integrate commercial and/or open-source AI models into production applications through APIs and model-serving platforms. • Build AI workflows involving prompt engineering, retrieval, embeddings, vector databases and knowledge bases. • Evaluate AI solutions for accuracy, reliability, latency, cost and user experience. • Implement appropriate safeguards for AI applications, including data protection, access control, human oversight and responsible AI practices. • Prototype emerging AI technologies and assess their potential for government use cases. • Work with data, product and business stakeholders to identify opportunities where AI can improve operational efficiency or citizen services. Cloud, DevSecOps & Engineering Excellence • Develop and deploy applications using modern cloud and container technologies. • Implement CI/CD pipelines, automated testing, monitoring and observability. • Apply secure software development practices throughout the development lifecycle. • Ensure solutions comply with relevant government security, data protection, architecture and technology standards. • Contribute to system architecture, technical documentation and operational readiness. • Monitor application health, performance and security and participate in incident resolution. Collaboration • Work closely with product managers, UX designers, data scientists, cybersecurity teams and business stakeholders. • Translate business and user requirements into practical technical solutions. • Communicate technical concepts clearly to both technical and non-technical stakeholders. • Mentor junior engineers and contribute to the development of engineering standards and practices. Requirements Technical Skills • Bachelor's degree or equivalent experience in Computer Science, Software Engineering, Information Technology or a related discipline. • Strong software engineering experience developing production-grade applications. • Proficiency in one or more backend languages such as Java, Python, C#, Go or Node.js/TypeScript. • Strong experience with modern frontend frameworks such as React, Angular or Vue.js. • Good understanding of RESTful APIs, microservices, event-driven architectures and system integration. • Experience with relational databases such as PostgreSQL, MySQL or MS SQL, and familiarity with NoSQL technologies. • Experience with Git and modern software development practices, including automated testing and code review. • Familiarity with cloud platforms such as AWS, Microsoft Azure or Google Cloud. • Experience with Docker and/or Kubernetes is advantageous. AI / Data Skills • Practical experience integrating Generative AI or LLM capabilities into software applications. • Understanding of concepts such as: • Prompt engineering • Retrieval-Augmented Generation (RAG) • Embeddings and vector databases • LLM APIs and model integration • AI agents and tool/function calling • Model evaluation and monitoring • Experience with AI frameworks or tools such as LangChain, LlamaIndex, Semantic Kernel or equivalent is advantageous. • Familiarity with Python-based AI/ML libraries and frameworks is a plus. • Understanding of AI security, privacy, governance and responsible AI principles is highly desirable. Preferred Experience Candidates with experience in one or more of the following will have an advantage: • Building AI-powered enterprise or government applications. • Developing citizen-facing or large-scale digital services. • Working with sensitive or regulated data. • Cloud-native application development. • DevSecOps and automated CI/CD. • Microservices and distributed systems. • Data engineering, analytics or machine learning. • Implementing RAG-based enterprise knowledge assistants or AI copilots. • AI governance, model evaluation, AI security or responsible AI. • Experience working in a public-sector, regulated or highly secure environment. What We Are Looking For Beyond technical skills, we value engineers who: • Are curious about emerging AI technologies and able to distinguish practical applications from hype. • Think systematically and can break complex problems into manageable solutions. • Take ownership of software quality, security and operational outcomes. • Care about building technology that creates tangible value for citizens and public officers. • Are comfortable working in cross-functional and multidisciplinary teams. • Can balance speed of delivery with maintainability, security and long-term sustainability. • Communicate clearly and collaborate effectively with stakeholders at different levels. • Have a strong growth mindset and are willing to continuously learn new technologies. Why Join Us? You will have the opportunity to: • Build technology that contributes to Singapore's digital government and public services. • Work on meaningful, high-impact problems affecting citizens and businesses. • Apply the latest AI and Generative AI technologies to real-world use cases. • Work alongside experienced engineers, architects, data specialists and product teams. • Gain exposure to large-scale, secure and mission-critical systems. • Contribute to the adoption of responsible and trustworthy AI within the public sector. #J-18808-Ljbffr