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 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.

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.

Design, build, and productionize GenAI and ML solutions for semiconductor engineering: large-scale data pipelines, LLM/RAG and agentic workflows, model training/inference, analytics, deployment, monitoring, and cross-functional collaboration to improve quality, cost, and engineering productivity.

As a Machine Learning Engineer Intern, you will build data pipelines, develop models, and collaborate on data-driven solutions in manufacturing. Gain experience with cloud platforms and MLOps.

As a Solutions Architect at CoreWeave, you'll lead the technical relationship with customers to optimize AI workloads on cloud infrastructure, focusing on Kubernetes and HPC environments.

The role involves designing and deploying generative AI solutions, mentoring junior engineers, collaborating with teams, and optimizing system performance.

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.

As a Robotics AI Engineer Intern, you'll work on humanoid robotics software features, specializing in Vision-Language Model integration, simulation environment setup, or 3D Gaussian Splatting. You'll collaborate with senior engineers, develop pipelines, and configure digital twins.

The Data & AI Engineer role involves building scalable data pipelines, analytics tools, and applying AI techniques to enhance product performance and operational efficiency in manufacturing operations.

As an AI Engineer at Amity AI Labs, you'll develop PoC-grade AI solutions, turn research into practical implementations, and collaborate with subsidiary teams on AI/ML projects.

The Senior AI/ML Engineer will design, develop, and deploy language models for African languages, focusing on NLP applications and cultural context.

As an Applied AI Engineer, you will develop AI features, improve model behavior, debug production issues, and collaborate on systems that deliver reliable AI solutions.

The AI Engineer will develop and deploy AI/ML solutions, focusing on large language models and machine learning to solve engineering challenges, integrating tools into existing workflows, and collaborating with various specialists.

The Applied AI Engineer will lead the adoption of AI products, collaborating with clients to integrate AI models and maintain full-stack applications while enhancing customer feedback.

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.