Top AI Engineer Jobs in Singapore

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

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 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.

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.

Serve as a Solution Architect to drive revenue and customer adoption of the Cloudflare AI/Developer Platform, advising on technical sales and solutions. Collaborate with teams, present to customers, and lead strategic initiatives.

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.

Embed with business functions to identify AI use cases, design and build AI-powered solutions (LLMs, automation, prompt engineering, no-/low-code), run pilots, measure impact, and present results to stakeholders.

Partner with corporate functions to identify pain points and build AI-powered solutions. Design, iterate, and deploy models and automations (LLMs, prompt engineering, no-code/low-code), run pilots, measure impact, and present findings. Translate between business needs and technical solutions.

As an Innovation and Applied-AI Engineer, you will develop AI/ML software solutions, prototype new ideas, and implement end-to-end systems within a collaborative, innovative team environment.

Lead the development of AI applications, integrating AI models with front-end experiences, and build robust backend services and APIs.

The Senior AI Engineer will develop a retrieval layer for enterprise AI agents, ensuring relevant, permission-aware responses by integrating multiple data sources and designing hybrid retrieval systems. Responsibilities include mentoring, designing pipelines, and building evaluation systems, with a strong focus on retrieval quality and permission management.

The role involves developing and optimizing AI computing infrastructure, focusing on distributed training, compute scheduling, and end-to-end model engineering for gaming applications.

The role involves managing AI system reviews, conducting risk assessments, ensuring compliance, and collaborating with teams to enhance AI governance and reporting processes.

The Artificial Intelligence Engineer at OneByZero builds production-grade agentic systems on AWS, integrating into enterprise realities, and ensuring compliance and performance evaluation throughout the process.

The AI Engineer supports the global AI sandbox, develops AI solutions, conducts R&D, and collaborates with cross-functional teams to deliver high-quality AI products.

Design, evaluate, and deliver AI solutions for gaming. Build scalable AI services, mentor teams, and communicate technical concepts effectively.

Develop AI solutions leveraging LLMs, lead development lifecycle, build scalable systems, collaborate across teams, and present to stakeholders.

Lead the development of autonomous AI agents, optimizing workflows and integration systems, while ensuring reliability in production environments.

Develop and optimize machine learning algorithms, train and evaluate AI models, preprocess data, collaborate on deployment, and drive research innovations in AI.

The AI Engineer will develop Generative AI and Large Language Model solutions for supply chain operations, ensuring reliability and adoption. Responsibilities include designing applications, defining architectures, coordinating user testing, and promoting low-code usage.

Develop and deploy applications using LLMs, fine-tune models, implement advanced workflows, and integrate GenAI pipelines into production systems.

As an AI Engineer, you will build and deploy AI solutions, work with data preparation, integrate models into applications, and collaborate with teams to solve business problems using AI.