Top AI Engineer Jobs in Singapore

The Senior AI Engineer designs and develops scalable AI/ML systems, operationalizes models, ensures reliability and observability, and mentors junior engineers.

As a Senior AI Engineer, you will develop AI solutions to enhance customer support and internal efficiency, design APIs, and collaborate with teams in a fast-paced environment.

The Staff AI Engineer will lead the development of AI solutions, set technical vision, design robust APIs, and enhance user experience through innovative language technologies.

Contribute to machine learning and AI projects, assisting in model building, data engineering, and automation tasks. Gain exposure to real-world engineering applications and mentorship opportunities.

The intern will develop software and models to analyze diverse data sources, improve processes in manufacturing, and communicate insights effectively.

The role involves developing AI and ML solutions for semiconductor workflows, training Citizen Data Scientists, and integrating intelligent agents into engineering processes.

As an AI Engineer, you will develop AI-driven solutions, design APIs, collaborate with teams, and drive innovation within a fast-paced environment.

The Principal AI Engineer leads the design and operationalization of complex AI systems, architecting multi-agent solutions while ensuring safety, reliability, and performance. They mentor engineers and improve processes and products based on measurable outcomes.

As a Senior Data Platform Engineer, you will design and optimize data infrastructure, develop data processing systems, and mentor junior engineers to drive data-driven initiatives.

Lead the Data DevOps team by developing and maintaining data infrastructure, enhancing tooling for self-service capabilities, and ensuring software quality and functionality.

Lead the design of DevOps strategy and develop cloud infrastructure. Responsible for operational management and building consensus across teams.

The role involves developing AI-driven solutions for semiconductor engineering, focusing on GenAI systems, data pipelines, and machine learning models while collaborating with cross-functional teams.

Lead technical decision-making and development for core infrastructure, optimize distributed systems, and mentor engineers while working with AI-driven products.

The AI Engineer (Safety) will lead development of safety models, ensuring AI models are safe for Southeast Asian contexts by designing safety strategies and identifying culturally grounded risks.

The AI Engineer will lead AI projects, train apprentices, develop AI technologies, manage recruitment, and support industry activities.

The AI Engineer will lead projects under AIAP, mentor apprentices, develop AI solutions, and support community-building efforts.

The AI Engineer builds prototypes, designs system architectures, writes production-quality code, manages deployments, and collaborates on AI platform services for government applications.

As a Fullstack AI Engineer, you will design and maintain AI-powered applications, develop Proof-of-Concepts, enhance AI frameworks, and collaborate on production-grade systems in a cloud-native environment.

As an AI Engineer, you'll build prototypes, design system architectures, write code, integrate AI services, and manage deployments, ensuring software solutions meet public sector needs.

Lead the design, development, and integration of AI-powered applications while ensuring code quality and collaborating across teams. Ideal for engineers focused on automation and secure application engineering.

Lead AI engineering practice, guiding design and delivery of Generative AI solutions while mentoring a cross-functional team. Collaborate with stakeholders, establish best practices in AI engineering, and ensure high standards in system performance and reliability.

As an Entry-Level RPA & AI Engineer, you will collaborate with stakeholders to develop AI-RPA solutions, prototype automated workflows, and ensure integration with existing processes while monitoring performance and providing user training.

The Senior AI Engineer (Agents) will design, develop, and optimize AI and ML products, focusing on LLMs and automated systems, while collaborating with teams for integration and building production-grade pipelines.

The Senior AI Engineer will design and develop AI systems for gaming, create agent architecture, and integrate LLMs while ensuring robust performance and collaboration across teams.

As a Machine Learning Engineer Intern, you will build data pipelines, develop models, and collaborate on data-driven solutions in manufacturing. Gain experience with cloud platforms and MLOps.