Top AI Engineer Jobs in Singapore

The AI Engineer builds prototypes and demos, implements applications and data integrations, experiments with AI models, and collaborates across teams to enhance ServiceNow's AI capabilities.

As an AI Engineer at Sonar, you will conduct applied research, develop algorithms, and enhance AI applications to improve software engineering processes, focusing on code quality and automation.

As a Senior AI Engineer, you will develop AI-driven solutions, design system architectures, and collaborate with teams to enhance business efficiency.

Lead the development of AI agents and solutions, designing robust APIs and system architecture to enhance user experience and internal efficiency.

The AI Workflow Engineer Intern will work on end-to-end AI projects, support AI solution development, and enhance existing frameworks using Python while gaining hands-on experience with Databricks and AWS.

The role involves developing AI solutions for financial institutions, focusing on generative AI and LLM-based applications like chatbots, document processing, and voice solutions. You'll work with AWS services to improve customer interactions and compliance.

As a Video AI Engineer, you will develop and optimize video processing applications, research algorithms, and integrate deep learning models for Zoom's video pipeline.

The Lead AI Developer leads software projects, champions best practices, oversees development cycles, and collaborates with teams to deliver AI solutions, ensuring quality and client satisfaction.

The Senior AI Engineer (Agents) will design, develop, and optimize AI and Machine Learning products, lead technical initiatives, and collaborate with researchers to create effective user experiences in AI systems.

The intern will aid in data modeling, AI framework exploration, implement machine learning algorithms, and support the development of AI solutions for industrial systems.

The AI Engineer supports the global AI sandbox, develops AI solutions, conducts R&D, and collaborates with cross-functional teams to deliver high-quality AI products.

As a Fullstack Engineer, you will build AI-assisted developer tools in GitLab Duo, working with TypeScript and Kotlin across various platforms, collaborating closely with engineering teams.

The Consultant AI Developer will design software solutions using Python and JavaScript, build AI solutions, and engage in collaborative practices to enhance delivery for clients.

As an AI Engineer, you will develop, deploy, and optimize AI models, ensuring their integration into existing IT systems while supporting new features and lifecycle management.

The Founding AI Engineer will create full-stack features integrating ML models, develop APIs, and improve system performance while collaborating closely with a small technical team.

As a Lead AI Engineer, you'll design and deploy machine learning models, mentor junior engineers, and drive AI initiatives within a collaborative team.

As an AI Engineer, you'll develop machine learning solutions, work on data preparation, integrate AI into applications, and collaborate with teams.

The Senior AI Engineer will solve complex problems using AI, build client relationships, and contribute to a top-tier AI team with at least 7 years of relevant experience.

The AI Engineer will develop and deploy AI solutions, lead development lifecycles, integrate AI workflows, and communicate their value to stakeholders.

As a Senior Frontend Engineer at Airwallex, you'll build high-performance UIs that connect users with AI agents, collaborate closely with cross-functional teams, and engage in product planning and development for scalable frontend architectures.

Lead frontend design and development of user interfaces connected to AI agents for financial work. Mentor frontend developers and collaborate with cross-functional teams.

As a Senior Data Platform Engineer, you will design and optimize data architectures, develop large-scale distributed systems, and mentor junior engineers while advocating for high-quality software practices.

The Principal AI Engineer will design and deploy deep learning models, develop AI solutions for security, and mentor junior engineers. Responsibilities include fraud detection, compliance automation, and multimodal analysis, integrating AI into large-scale systems.

The Senior AI Engineer will integrate and scale AI tools, develop internal models, and collaborate with engineers to enhance Razer's AI capabilities.

As a Generative AI Engineer at ResMed, you will design and deploy AI workflows on AWS, modernize systems, develop solutions, and collaborate with teams to improve healthcare technology.