Data Acquisition Engineer (AI Systems)

The Internal Security Department (ISD) confronts and addresses threats to Singapore’s internal security and stability. For over 75 years, ISD and its predecessor organisations have played a central role in countering threats such as those posed by foreign subversive elements, spies, racial and religious extremists, and terrorists. A fulfilling and rewarding career awaits those who want to join in ISD’s critical mission of keeping Singapore safe, secure and sovereign for all Singaporeans. You will be part of a dynamic engineering team supported by highly technical and collaborative colleagues. You will have access to numerous learning opportunities, like attending leading overseas conferences, protected time for professional development and a learning and development subsidy to support your growth. Whether you are a fresh graduate eager to learn or an experienced engineer looking for challenging technical problems, you will have the opportunity to work on real-world systems that combine automation, AI, and large-scale data processing, and contribute directly towards Singapore’s national security. Responsibilities • As a Data Acquisition Engineer (AI Systems), you will work at the intersection of software engineering, browser automation, distributed systems, and AI. You will help design and build platforms that collect, process, and deliver structured data from a wide range of public sources while continuously improving their reliability and resilience. • You will work on systems that discover, collect, extract, process, and deliver data from a wide variety of online sources. Some sources provide APIs, while others require browser automation, custom extraction strategies, or AI-assisted workflows. • The challenges are rarely straightforward. Websites evolve, interfaces change and automation workflows break. Building reliable data acquisition systems require curiosity, persistence, creativity, and strong engineering fundamentals. • The long-term goal is to build increasingly autonomous systems that require less manual intervention and become more resilient over time. Requirements • Degree in Computer Science, Engineering, Information Technology, Data Science, Analytics, or equivalent competencies. • Core Requirements: o Strong programming skills in Python, Node.js, or similar languages o Good understanding of software engineering fundamentals o Strong analytical, debugging, and problem-solving abilities o Able to work independently and in teams o Strong communication and collaboration skills • Valuable Experience: o Browser automation using Playwright, Puppeteer, Selenium, or similar tools o Web technologies, including HTML, JavaScript, HTTP, cookies, sessions, and APIs o Data engineering, ETL pipelines, or distributed systems o Docker and containerized development environments o Databases such as PostgreSQL, MySQL, or similar technologies o Monitoring, observability, and reliability engineering practices o Familiarity with deploying and operating applications in cloud or containerized environments • Helpful AI and Autonomous Systems Experience: o Experience using large language models in applications or workflows o Familiarity with agent-based architectures and tool-calling systems o Experience with prompt engineering, evaluation, and model experimentation o Experience building AI-assisted automation solutions o Interest in autonomous systems and self-healing workflows • We care more about problem-solving ability, curiosity, and engineering mindset than checking every box on a technology list. • Fresh graduates are encouraged to apply. • Only Singaporeans need apply. We wish to inform that only shortlisted candidates will be notified.