Top AI Engineer Jobs in Singapore

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 an AI Engineer II, you will build AI applications, develop scalable data solutions, collaborate with teams, and deploy machine learning models, while ensuring high standards of data privacy and security.

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.

As a Lead AI Engineer, you will lead AI innovation, develop AI solutions, guide a team through development, and ensure model deployment in production. You will collaborate with cross-functional teams and stay on top of AI trends.

Design, build, and deploy Copilot solutions and extensions using Copilot Studio and Graph connectors. Implement RAG, semantic search, vector indexes, and secure integrations with Microsoft 365, Azure, and enterprise systems. Ensure security, compliance, and Responsible AI. Establish MLOps/DevOps, monitor performance and costs, and run discovery workshops, documentation, and enablement to drive adoption and continuous improvement.

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

Senior AI Developers design and implement software solutions, advocate for best practices, mentor junior staff, and utilize AI technologies to solve complex problems.

The Principal AI Engineer will design and deploy deep learning models, develop AI solutions for security, and mentor junior engineers. Responsibilities include fraud detection, compliance automation, and multimodal analysis, integrating AI into large-scale systems.

The Applied AI Engineer will collaborate with customers to implement AI solutions, develop full-stack applications, and enhance product capabilities through feedback.

The Senior AI Engineer will develop and deploy generative AI solutions in healthcare, focusing on system integration, deep learning algorithms, and large language models.

As an AI Developer, you will develop Generative AI solutions, collaborating with data engineers and implementing ML models to enhance operations and support business needs.

The Senior AI Developer will lead Generative AI initiatives, develop innovative solutions, and collaborate with teams to enhance operations and customer experience.

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.

Develop advanced calibration, localization, and mapping algorithms for autonomous robots, ensuring high-quality code delivery and collaboration across teams.

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

The Senior ML Platform Engineer will design and maintain the MLOps platform, implement automation for model deployment, and ensure system security, collaborating closely with Data Scientists and ML Engineers.

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 development of AI-driven solutions, designing robust APIs, and collaborating with cross-functional teams to enhance product offerings. Focus on building innovative systems that improve efficiency and customer support.

This position involves researching optimization techniques and machine learning for air traffic management, developing algorithms, and collaborating with industry partners.

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

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 6G Engineer will develop and prototype advanced wireless communication systems, focusing on 6G technology and applying AI tools for system enhancement.