Top AI Engineer Jobs in Singapore

The Principal Software Engineer will develop AI tools to enhance developer productivity and manage AI project execution across teams.

Collaborate with teams to develop AI tools for enhancing software development efficiency, mentor engineers, and manage AI projects across Grab.

Lead the development of AI-driven software solutions, enhance engineering productivity, manage AI project execution, and mentor junior engineers.

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.

Develop and optimize AI algorithms for computer vision tasks, including deep learning and few-shot learning approaches, while ensuring high-performance implementations and production readiness.

The role involves designing, building, and deploying AI applications, particularly large language models, while leading teams and advising clients on AI solutions.

Build and deploy AI applications, collaborate with clients, solve technical issues, provide guidance, and ensure ethical standards in AI development.

The Applied AI Engineer will deploy AI solutions for clients, work on GenAI applications, manage stakeholder relations, and collaborate on product improvements.

As a Machine Learning Engineer, you will develop AI solutions to enhance marketing and sales through collaboration with teams, deploying ML models, and optimizing AI systems.

As an AI Web Application Developer Intern, you'll develop software applications, integrate LLMs, and ensure application performance and usability while collaborating with the R&D innovation team.

The AI Deployment Engineer works with strategic startups to optimize AI systems, improve workflows, and deliver insights for product and model enhancements. Responsibilities include prototyping, debugging, and community engagement while requiring strong software engineering skills and effective communication.

The AI/ML Engineer will design and implement AI-driven automation solutions, manage product backlogs, and develop machine learning models, leading initiatives to enhance IT processes through advanced technologies.

The intern will research AI technologies, develop prototypes to enhance operations, and support the industrialization of AI solutions with supervision and mentorship.

Design and build AI agent applications, optimize retrieval systems, collaborate with teams, and explore new AI intelligence forms.

Lead the development and deployment of applications leveraging generative AI. Design scalable software solutions, optimize performance, and lead product architecture with a focus on AI.

Intern will design and build AI Agent systems, optimize retrieval systems, and collaborate on AI application features while improving performance and exploring new AI intelligence forms.

The role involves driving technical sales strategy for AI solutions, consulting on data architectures, and presenting to C-level executives, requiring extensive customer-facing experience and AI proficiency.

As an AI/ML Software Engineer at Finite State, you'll develop AI-driven security features, integrate systems, and collaborate across teams, contributing to cybersecurity solutions for connected devices.

Assist in developing and optimizing AI models, supporting deep learning techniques, and collaborating with engineering teams. Continuous learning and contribution to projects are emphasized.

As an AI Deployment Engineer, you will lead the deployment of Generative AI applications, collaborating with senior customers and technical teams to drive business value and manage project implementations.

Design and maintain automation plugins for Unreal Engine and Unity 3D. Build automation with Python, refine algorithms to enhance performance, and ensure code quality.

The Full Stack Engineer will develop AI-driven features, design workflows, ensure system reliability, and collaborate with cross-functional teams to integrate AI capabilities into chat applications.

As an AI Application Engineer, you will debug and improve platforms, develop AI tools and proof-of-concepts, and collaborate across teams to enhance AI systems.

The Product Engineer will develop and integrate robotics and AI solutions for semiconductor applications, focusing on robotic systems, machine vision, and automation. Responsibilities include leading robotic use case development, collaborating with teams, and contributing to product deployment.

Design, develop, and deploy AI solutions by integrating ML models, optimizing workflows, and collaborating across teams. Ensure performance and security in production environments.