(30393) AI & Systems Engineer at NUS Enterprise

Singapore, , Singapore -

Full Time

Start Date

Immediate

Expiry Date

24 Feb, 26

Salary

0.0

Posted On

26 Nov, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Systems Engineering, Backend Development, Data Integration, API Development, Cloud Architecture, Data Management, ETL Pipelines, Cloud Data Storage, Python, Node.js, CI/CD Tools, Containerization, Docker, Version Control, Problem-Solving, Automation

Industry

Higher Education

Description

About the Role We’re expanding our systems team at NUS Enterprise to build the backbone of our intelligent operations. As an AI & Systems Engineer, you’ll design and scale the systems that power our AI agents and data-driven workflows — from API integration to cloud architecture and data lake management. We’re building our Enterprise Intelligence Hub and creating AI agents that automate the boring stuff — so our teams can focus on building what really matters. If you love experimenting with new tools, designing scalable systems, and bringing automation ideas to life, we’d love to have you on board. You’ll work closely with our AI and automation teams to connect platforms, manage real-time data flows, and build resilient infrastructure that enables smarter decision-making across NUS Enterprise. What You'll Do Design and build APIs and connectors to integrate internal and external systems. Develop and maintain a data lake architecture that consolidates data across platforms for analytics, reporting, and AI training. Deploy and manage infrastructure on cloud environments (Azure preferred). Support the development of AI agents that automate workflows and leverage enterprise data. Build scalable backend services and pipelines to support intelligent automation. Troubleshoot and optimize system performance for reliability and efficiency. Collaborate with data, AI, and operations teams to identify new automation and integration opportunities. What You'll Bring 3–5 years of experience in systems engineering, backend development, or data integration. Strong hands-on experience with APIs (REST/GraphQL) and cloud architecture. Solid understanding of data management, ETL pipelines, and cloud data storage (Azure Data Lake, AWS S3, or equivalent). Proficiency in Python, Node.js, or similar programming languages. Experience with CI/CD tools, containerization (Docker), and version control (Git). Problem-solver mindset — you enjoy building, debugging, and scaling complex systems. A strong learning mindset — you’re eager to explore new tools, adapt quickly, and grow with evolving technologies. Passion for automation, AI systems, and emerging technologies. Why Join Us? You’ll be part of a lean, ambitious team shaping how NUS Enterprise connects data and intelligence. Whether you’re an experienced engineer or an emerging builder, if you’re driven by curiosity and the desire to keep learning, this is where you’ll thrive. Send your resume to our Job Mailbox: 82C998FDF5@jobs.workablemail.com. No cover letter required—but we’d love to know what drives you, and what you’re excited to build next. Please be informed that only shortlisted candidates will be notified. Job Type: 2-year Contract Location: Kent Ridge Campus Organization: NUS Enterprise Department : ETP - Administration Job requisition ID : 30393

Responsibilities

Design and build APIs and connectors to integrate internal and external systems. Develop and maintain a data lake architecture that consolidates data across platforms for analytics, reporting, and AI training.