Top AI Engineer Jobs in Singapore

Develop AI solutions, design API architecture, collaborate with teams, and build scalable software systems to enhance internal efficiency at Airwallex.

As an Intermediate Backend Engineer, you'll enhance GitLab's AI capabilities using Ruby on Rails and Python, collaborating with other teams to improve the product and generate innovative solutions.

As a Senior Software Engineer in Security Engineering, you'll develop security tools, support incident response, and mentor junior engineers.

Develop dynamic user interfaces for AI systems, focusing on responsive design, real-time data visualization, and collaboration with AI engineering teams.

As a Python and Kubernetes Software Engineer, you will develop data analytics solutions using open source tools, collaborating with a distributed team.

Develop and maintain scalable backend services and APIs, collaborate with frontend developers, and lead new features and infrastructure improvements.

The Principal Software Engineer will develop AI tools to enhance developer productivity and manage AI project execution across teams.

Collaborate with teams to develop AI tools for enhancing software development efficiency, mentor engineers, and manage AI projects across Grab.

Lead the development of AI-driven software solutions, enhance engineering productivity, manage AI project execution, and mentor junior engineers.

As a Senior AI Software Engineer, you'll design and deploy AI solutions, optimize workflows, and collaborate with various teams to enhance AI capabilities.

As an AI Applied Engineer, you'll build and maintain integrations, collaborate with teams, drive customer implementations, and contribute to open-source projects, leveraging GenAI.

The role involves creating AI-powered solutions to optimize workflows, manage AI projects, and mentor engineers while delivering solutions.

The Senior Platform Engineer will architect and maintain data platforms, pipelines, and APIs for AI and data-intensive applications, ensuring scalability and governance in a cloud environment.

The role involves managing large-scale unstructured data for ML systems, contributing to the entire product lifecycle, and building reliable system software.