Top AI Jobs in Singapore

The Lead Software Engineer will enhance and deliver technology products, execute software solutions, develop production code, and lead evaluations of architectural designs.

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.

The role involves leading a team to develop and maintain data infrastructure, design scalable software applications, ensure quality, and collaborate with cross-functional teams.

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.

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 a Principal Machine Learning Engineer, you will lead a team, develop scalable machine learning solutions, and enhance ad serving efficiency for Grab's ads business.

The Senior Business Intelligence Analyst will gather and analyze data for improving wafer output performance, lead projects, and integrate AI solutions.

Monitor and sustain process quality, review SPC charts, set up recipes, manage production job files, and ensure safety practices in fab operations.

The role involves supporting production schedules, leading continuous improvement projects, sustaining production lines, and developing new processes in semiconductor manufacturing.

The Research Engineer will develop models and prototypes in AI, ML, and optimization, assist in product analysis and specification writing.

Lead the AI Platform team at Airwallex, focusing on AI innovation and operational efficiency through collaboration, strategy development, and project management.

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.

Conduct research on integrating AI/LLM with software engineering to improve code quality and testing, collaborating on practical applications.

As a Principal Engineer, you'll lead CMP process development, optimization, and sustainability, while collaborating with teams to enhance performance and drive innovation in semiconductor fabrication.

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.

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

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

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.