Top AI Engineer Jobs in Singapore

This internship involves assisting in machine learning development, AI automation, data engineering, and exploring innovative projects to enhance test efficiency and engineering productivity.

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.

The role involves pioneering machine learning techniques, developing advanced AI models, building data pipelines, and translating prototypes into products in code analysis.

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.

As an AI Engineer at SimplifyNext, you will develop machine learning models, integrate AI solutions, perform data engineering tasks, and collaborate with SMEs to deliver impactful AI-driven solutions.

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.

The AI Engineer will develop AI solutions leveraging LLMs, leading the development lifecycle and collaborating with teams to integrate AI into workflows.

Design and build autonomous AI systems using large language models, develop workflows, and integrate solutions into production while ensuring performance optimization.

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

As an Applied AI Engineer, you will design, build, and deploy AI agents integrating large language models with enterprise workflows, ensuring reliability and performance. Close collaboration with customers is essential for turning complex business problems into scalable solutions.

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

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 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.