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.

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 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.

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.

Develop and optimize algorithms for signal processing and AI applications, validate performance, and collaborate with cross-functional teams to improve healthcare diagnostics.

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.

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.

Senior developers lead and mentor teams while delivering software solutions. They advocate for best practices and collaborate to solve business problems using innovative technology.

As an LLM Engineer, you will optimize large language models for user interactions, oversee algorithm development, manage datasets, and enhance product features.

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

The Research Engineer will build environments for evaluation datasets, deliver custom datasets, and improve the evaluation harness based on skills and interests.

The Developer Relations Manager for Robotics and Generative AI will collaborate with developers, integrate GPU solutions, and identify adoption barriers in AI. Responsibilities include project management, building networks, and driving product adoption in AI workflows.

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.

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

Lead the design and implementation of AI-driven data models, integrate business processes, and enhance data architecture for Omio's AI transformation efforts.

The role involves building automated tests, integrating them into CI/CD, using AI tools for test design, and conducting exploratory testing.

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

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.

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.

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

Lead the architecture and integration of AI-assisted engineering practices, guiding teams in software development and best practices, while driving AI-driven workflow automation.

The Senior .NET Developer will design architecture for high-loaded applications, develop functionalities, implement components and services, and ensure quality control.