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

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.

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.

Develop and deploy AI applications and algorithms, collaborating with teams to enhance diagnostic systems and ensure algorithm reliability.

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.

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

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.

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

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

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

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

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

Lead the design of AI-assisted engineering frameworks, mentor engineers, and drive technical decision-making for AI integration in software development at Dell.

As a Principal AI Application Engineer, you will lead the integration of AI tools in software development, mentor teams, and enhance product capabilities for Dell's solutions.

The role involves architecting and maintaining AI and data platforms, optimizing data pipelines and APIs, and ensuring system scalability.

As a Principal AI Platform Engineer, you will design, develop, and operate core components of the AI platform, manage MLOps pipelines, and ensure quality AI workloads with a focus on LLM tooling and infrastructure.

As an AI-Assisted Application Engineer, you will architect AI-driven automation across platforms, mentor engineers, and influence technical direction in enterprise software engineering.

As a Senior Backend Engineer, you will design and maintain backend services, implement security systems, and ensure stability for an AI-driven platform.

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.