Top AI Engineer Jobs in Singapore

As an AI Applied Engineer at Redis, you'll design and develop AI integrations, create open-source tools, support customers with pilot projects, and collaborate with cross-functional teams to enhance AI capabilities.

As an AI Applied Engineer, you'll build AI ecosystem integrations, drive customer implementations, collaborate cross-functionally, and maintain open-source projects.

Design and implement AI agent architecture, develop skills for agent interaction, tackle runtime challenges, and architect data systems for performance evaluation.

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

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.

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.

Design, develop, and maintain scalable applications. Focus on system architecture, CI/CD pipelines, cloud infrastructure, and automation to improve operations and processes.

This role involves managing trading operations, developing AI workflows for automation and risk modeling, and ensuring data integrity in trading processes.

The AI Machine Learning Principal Engineer will develop scalable machine learning models and collaborate with stakeholders to ensure product compliance with global regulations.

Design and develop scalable data pipelines, build ingestion frameworks, create APIs, and operationalize ML models while ensuring security.

The intern will support the R&D team in developing web applications, APIs, and integrating large language models, ensuring performance and usability while conducting testing and debugging.

The AI Operations Engineer will build AI-native infrastructure for SaaS, automate operations, lead model orchestration, and collaborate on security architecture.

The Solutions Architect will partner with customers to leverage Generative AI, building prototypes and guiding technical deployments to maximize business value.

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.

The AI Success Engineer in Singapore guides major clients in deploying and maximizing the value of OpenAI technologies through strong technical relationships, project management, and strategic advisory roles.

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

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

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

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

Manage, optimize, and monitor large-scale AI computing clusters. Collaborate on upgrades, ensure high availability, and document processes.

As an AI IT Engineer Intern, you will support IT operations, develop AI applications, integrate systems, and assist with data processes while gaining hands-on experience in a fast-paced environment.

The Senior Solutions Engineer will support the sales team by demonstrating product capabilities, leading technical discussions, and advising clients on security and observability solutions while mentoring junior members.

Develop advanced cyber security capabilities, build endpoint sensors, create data processing pipelines, and lead project planning efforts. Requires strong software engineering skills.