Top AI Engineer Jobs in Singapore

The Senior IT Operations Engineer will provide hands-on IT support, manage IT infrastructure, lead troubleshooting, and optimize IT processes.

The Developer Relations Manager for Robotics and Generative AI will collaborate with developers, integrate GPU solutions, and identify adoption barriers in AI. Responsibilities include project management, building networks, and driving product adoption in AI workflows.

As a Software Principal Engineer, you'll architect AI platforms, develop MLOps pipelines, and integrate AI tools to enhance software engineering processes and product solutions.

As an AI Empowered Software Engineer, you will develop Dell's Private Cloud solutions using advanced technologies, collaborate on software implementation, and contribute to high-quality systems.

As an AI Infra and Platform Engineer, you'll develop Dell's Private Cloud solutions, focusing on AI-assisted development and complex software systems.

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

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

The role involves integrating AI models across business domains, providing solutions, maintaining system availability, and improving tech practices.

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

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

The AI Sales Engineer collaborates with the sales team, providing technical insights and support to drive product adoption in machine learning organizations, leading demos, and uncovering customer needs.

Lead the development of Dell's Private Cloud solutions, utilizing AI-assisted tools and collaborating on innovative software and systems design while mentoring junior engineers.

As a Software Senior Engineer, you will lead the development of AI-enhanced Private Cloud solutions, manage complex systems, and mentor junior engineers.

As an AI Forward Deployed Engineer, you will engage with clients to solve business challenges using AI solutions, manage the deployment lifecycle, and ensure solution integrity while fostering client relationships and delivering measurable business outcomes.

The Senior AI Platform Engineer will architect and deliver foundational services for AI platforms, enhancing multi-agent capabilities and ensuring secure, scalable integration with enterprise systems.

The role involves ensuring the performance and reliability of AI offerings, developing evaluation systems, and automating case analysis for product improvement.

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

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

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.

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

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.

Seeking a Senior Backend Engineer to scale infrastructure, optimize product flows, and construct resilient systems with AI technologies. Responsibilities include voice cloning and text-to-speech solutions.

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