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.

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

As a Forward Deployed Software Engineer, you'll develop LLM-enabled applications, work closely with customers, and influence product strategies in an agile environment.

As a Forward Deployed Software Engineer, you will build LLM-enabled applications, operate with customers, and design scalable AI-native solutions while delivering in agile sprints.

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.

As a DevOps Engineer, you'll design and manage cloud infrastructure, ensuring performance, scalability, and security while collaborating across global teams.

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 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.

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.

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.

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.

Lead Developers act as primary client contacts, ensuring project success through strategic collaboration, agile methodologies, and high-quality software delivery using various technologies including AI solutions.

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

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

As a Full Stack Engineer AI at BJAK, you'll build and deploy applications incorporating machine learning models, collaborating with teams to enhance user experience and system performance.

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 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.

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

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

Seeking a Senior Software Engineer for building scalable applications and maintaining cloud infrastructure. Responsibilities include designing low-latency systems and developing monitoring solutions.

Design and develop software for scalable applications, manage infrastructure, implement CI/CD pipelines, and improve system architecture.

Design, develop, and maintain scalable applications. Focus on system architecture, CI/CD pipelines, cloud infrastructure, and automation to improve operations and processes.

Develop and maintain scalable data pipelines using Python and AWS services, enhance data accessibility, collaborate with teams for business intelligence, and contribute to best practices.

The Senior DevOps Engineer will build and maintain backend infrastructure for AI data pipelines, support model training and production, and develop monitoring systems.