Top AI Engineer Jobs in Singapore

The Senior Full-stack Developer will design, develop, and maintain scalable applications, balancing frontend and backend work, and lead projects in a collaborative environment.

The Applied AI Engineer will onboard customers, manage technical collaborations, deploy LLM applications, and improve product capabilities based on feedback.

The Principal Cloud Engineer will design and maintain cloud architectures across multiple platforms, focusing on AI and data-intensive workloads, while optimizing resilience and performance through automation and collaboration.

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

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

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

The Systems Engineer will apply engineering principles and AI tools to improve medical devices through systems engineering across their lifecycle, ensuring regulatory and technical compliance and enhancing operational processes.

The Research Engineer will build environments for evaluation datasets, deliver custom datasets, and improve the evaluation harness based on skills and interests.

The Developer Relations Manager for Robotics and Generative AI will collaborate with developers, integrate GPU solutions, and identify adoption barriers in AI. Responsibilities include project management, building networks, and driving product adoption in AI workflows.

Lead the development and deployment of applications using generative AI models, focusing on software design, prototyping, and optimizing performance.