Top AI Engineer Jobs in Singapore

The Automation Test Engineer will design and implement automation frameworks using Selenium, Java, Playwright, and JMeter. Responsibilities include performance testing, integrating AI in testing, CI/CD pipeline setup, and collaborating in Agile teams.

The Senior Software Engineer will develop scalable backend systems and AI features using Python and LLMs, driving technical standards and mentorship.

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 onboard customers, manage technical collaborations, deploy LLM applications, and improve product capabilities based on feedback.

The AI Technical Support Specialist resolves complex customer issues, educates users on products, collaborates with engineering teams, and improves internal processes based on customer feedback, all while providing exceptional customer service.

Design, develop, and deploy AI-powered automation solutions for client onboarding and operational efficiency, utilizing Generative AI and RAG. Responsibilities include coding, integrating AI with backend systems, and collaborating with teams.

The role involves designing and developing AI-powered automation solutions to enhance client onboarding and operational efficiency, including chatbot development and financial process automation.

The Quantitative Developer will build AI and ML models for investment strategies, collaborating across departments to implement AI solutions.

Lead the AI engineering team to develop and implement AI solutions, mentoring staff, collaborating with business units, and promoting AI adoption.

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

Design and develop full stack web applications for data-driven and AI initiatives, working with data scientists and business stakeholders.

The AI/ML Research Engineer will fine-tune models, design datasets and training pipelines, and collaborate on product development to create impactful AI applications.

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