Top AI Engineer Jobs in Singapore

Design, build, and maintain production-ready full-stack applications combining React frontends with Java/Python backends. Integrate Generative and Agentic AI workflows, implement CI/CD, deploy cloud-native services on Kubernetes (GCP/Azure), manage relational and NoSQL databases, apply automated testing, observability, and troubleshoot production systems while collaborating across DevOps, QA, and Product teams.

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

Design, build, deploy and maintain scalable AI/ML applications, LLM services and data pipelines. Collaborate with data scientists and product engineers, ensure performant, reliable, and well-tested code, influence roadmap, and provide technical leadership and mentoring.

Design, build and deploy scalable full-stack web features, focusing on an internal AI-powered chat assistant. Ensure high-quality, well-tested code, maintain production reliability, participate in code reviews, collaborate with designers and stakeholders, and contribute to documentation and Agile delivery.

Design, build, and deploy AI-enabled products (RAG, retrieval, reasoning) and supporting web systems and data pipelines. Integrate emerging AI technologies, prototype rapidly, collaborate with cross-functional teams, and ensure robust, scalable, and secure software solutions that meet analyst needs.

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

Lead QA for AI-powered SaaS features: design and execute functional, API, integration, regression, exploratory, and end-to-end tests. Validate AI outputs, investigate root causes across frontend/backend/APIs/databases, build automation, improve CI/CD quality gates, and collaborate with engineers, product, and security teams to raise release confidence.

Ship real open-source integrations and MCP servers to bring SearchApi to agent and automation frameworks. Create PRs, example apps, docs, and integration guides. Stay current with the agent ecosystem, pick high-leverage targets, and work independently to deliver production-ready integrations.

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

Develop and maintain scalable backend services and APIs, collaborate with frontend developers, and lead new features and infrastructure improvements.

The Director, AI Solutions Engineer leads AI integration in marketing, develops APIs and UIs, ensures compliance and security, and provides technical support for AI models.

Customer-facing senior solutions engineer driving technical sales and adoption of Cloudera's Enterprise AI portfolio. Architect AI solutions, build training pipelines and large-scale experiments, demonstrate value to C-levels, consult with researchers, advocate customer feedback, and lead external evangelism. Own the technical sales lifecycle through post-sales success and renewals.

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

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 Research Engineer will conduct research, develop algorithms, design experiments, translate concepts into prototypes, and analyze data, focusing on sustainable digital solutions.

The AI Platform Engineer leads the development of production AI agents and components, collaborates on AI implementations, and maintains AI systems for reliability and observability.

As an AI Infrastructure Engineer at Bitdeer, you'll optimize GPU clusters, manage inference jobs, tune runtimes, and build observability tools in a distributed environment.

Build and scale a full-stack Next.js application tracking PRs, CI health, test parity, and benchmarks across AI accelerator open-source projects. Integrate GitHub APIs and webhooks, design PR/metrics schemas, visualize results, and produce technical digests and reports on cross-accelerator parity and performance trends.

Design, build, operate and maintain hybrid enterprise AI platforms with automation-first practices. Ensure reliability, scalability, observability, and performance; collaborate with architects, AI engineers, infra and network SMEs; troubleshoot and resolve production 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.

Design, develop and roll out geospatial AI-centric MVPs and digital products. Work full-stack on frontend and backend, implement and fine-tune ML/GenAI/LLM models, use cloud and DevSecOps practices, collaborate with stakeholders in cross-functional teams.

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.