Full‑Stack AI Engineer – Data Platform

About the role

AI Singapore (AISG) is seeking a Full‑Stack AI Engineer to join the ATLAS Data Platform team. You will build end‑to‑end modules, from user interfaces to backend services, and deploy them on cloud infrastructure to support multimodal language and cultural data collection.

Key responsibilities

• Design, develop, and maintain frontend interfaces, backend APIs, and data models for multimodal data collection and access.
• Leverage AI coding assistants such as Claude, Copilot, and Cursor for code generation, refactoring, review, debugging, and documentation.
• Build features for model and data evaluations, benchmark execution, and result tracking.
• Create annotation workflows for internal teams and external partners, integrating with evaluation frameworks and annotation tools.
• Deploy and operate services on Google Cloud Platform (GCP) and Amazon Web Services (AWS), manage CI/CD pipelines, monitoring, logging, and cost‑effective cloud resources.

Required profile

• Strong engineering fundamentals with experience across the full stack.
• Comfort using AI‑assisted development tools and cloud platforms.
• Ability to write clean, well‑tested, maintainable code and contribute to technical documentation.
• Team player who participates in code reviews and design discussions.

Required skills

• Claude (AI coding assistant)
• Copilot (AI coding assistant)
• Cursor (AI coding assistant)
• Google Cloud Platform (GCP)
• Amazon Web Services (AWS)
• CI/CD pipeline setup and management

What we offer

• Opportunity to work on a national AI initiative hosted by a leading university.
• Access to cutting‑edge AI tools and a vibrant ecosystem of research institutions and startups.
• Collaborative environment focused on impactful AI research and product development.