Top AI Engineer Jobs in Singapore

Lead the development of AI applications, integrating AI models with front-end experiences, and build robust backend services and APIs.

The Senior Software Engineer will own the CDE platform, architect AI agents for ML workflows, and collaborate with ML Engineers to enhance productivity.

As an AI Empowered Software Engineer, you will develop Dell's Private Cloud solutions, utilizing AI-assisted tools and collaborating with teams to deliver software and test strategies.

The role involves building AI search agents, creating RAG pipelines, optimizing vector search technologies, and automating evaluation processes.

The Senior AI/ML Engineer at Nansen will develop AI models for blockchain data analysis, collaborating with teams to enhance platform capabilities and mentor junior engineers.

The Senior Software Engineer will design and build an AI/ML platform, optimize performance for deep learning, and lead engineering initiatives.

The Principal Full Stack Engineer will architect and build AI-powered systems, design workflows, mentor engineers, and enhance development productivity at Sleek.

Assist in software development, testing, and documentation for AI/LLM initiative. Provide user support and collaborate with teams on technical issues.

The role involves solving complex customer issues, providing technical guidance, using automation for internal tools, and collaborating with other teams to enhance customer experience.

Lead the development of AI tools that optimize the software development lifecycle, mentor teams, and implement scalable ML systems.

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.

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

The Applied AI Engineer will onboard customers onto Mistral AI products, ensure effective integration, collaborate on advanced AI applications, and improve product capabilities based on user feedback.

The intern will develop web applications and dashboards, manage clinical trial data infrastructure, utilize AI tools, and enhance data visualization for decision-making in drug development.

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

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

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

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

As an AI Solutions Engineer, you will develop and maintain backend systems utilizing AI technologies, specifically GPT models, and collaborate with teams to deliver innovative solutions.

Develop and maintain scalable backend systems, implement APIs, manage databases, and collaborate with stakeholders to deliver AI solutions.

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.

As a Quality & AI Development Engineer, you will develop methods for analyzing big data, create software programs, and work closely with product teams to enhance services.

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.

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.