Top AI Engineer Jobs in Singapore

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 an AI Engineer II, you'll build AI solutions, design scalable analytical systems, deploy machine learning models, and collaborate with teams to meet client needs using big data frameworks and tools.

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 Forward Deployed Solution Engineer will design, implement, and deliver AI-native solutions by owning the full development stack and collaborating with clients in live environments to optimize and build scalable applications.

As an AI Developer, you'll design and deploy machine learning models, lead technical decisions, mentor junior engineers, and drive AI solutions for financial services.

As a Lead AI Engineer, you'll design and deploy ML models, collaborate with cross-functional teams, mentor junior engineers, and drive technical decisions for AI systems impacting financial access in Southeast Asia.

As a Founding AI Engineer at BJAK, you'll build and deploy machine learning models for financial applications, collaborating across teams and contributing to the full ML lifecycle.

The AI Engineer will design and deploy production-grade machine learning models, mentor junior engineers, and collaborate on AI solutions to enhance financial access across Southeast Asia. Responsibilities include leading technical decisions, mentoring, and supporting hiring efforts for a high-performance AI team.

The Applied AI Engineer will onboard customers on AI products, deploy applications, and collaborate on complex projects involving AI technologies.

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.

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.

The Deep Learning/AI Engineer will develop AI systems for cybersecurity, implement deep learning algorithms, and enhance threat detection capabilities.

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

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.

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.

Develop AI/ML models for network optimization and collaborate on 5G/6G technologies. Design prototypes and integrate AI into mobile systems.

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.

Develop next-gen data infrastructure solutions for AI initiatives, collaborating with data teams and ensuring system reliability and compliance.

The Senior Security Engineer will establish security frameworks for AI initiatives, manage non-human identities, and collaborate with cross-functional teams to ensure secure AI adoption across GitLab's internal tools.

The Senior AI Engineer will develop and deploy generative AI solutions in healthcare, focusing on system integration, deep learning algorithms, and large language models.

Design and deliver AI applications and algorithms, manage product life cycle, optimize performance, and mentor junior engineers while collaborating with cross-functional teams.