Top AI Engineer Jobs in Singapore

Develop advanced calibration, localization, and mapping algorithms for autonomous robots, ensuring high-quality code delivery and collaboration across teams.

Develop and implement AI solutions for game development, enhance integration with game engines, and collaborate with teams to analyze player engagement.

Lead the design, development, and integration of AI-powered applications while ensuring code quality and collaborating across teams. Ideal for engineers focused on automation and secure application engineering.

The AI Engineer will lead AI projects, train apprentices, develop AI technologies, manage recruitment, and support industry activities.

As a Fullstack AI Engineer, you will design and maintain AI-powered applications, develop Proof-of-Concepts, enhance AI frameworks, and collaborate on production-grade systems in a cloud-native environment.

The AI Engineer builds prototypes, designs system architectures, writes production-quality code, manages deployments, and collaborates on AI platform services for government applications.

As an AI Engineer, you'll build prototypes, design system architectures, write code, integrate AI services, and manage deployments, ensuring software solutions meet public sector needs.

Design and deliver production-ready AI and data science solutions across CRM, retail, marketing and operations. Build ML models, GenAI/RAG pipelines, feature engineering and training workflows; collaborate with data engineering to deploy, monitor and optimize models; run experiments and measure business impact while ensuring responsible AI, security and governance.

As a Principal AI Engineer, you will lead the architecture and deployment of large-scale conversational chatbot systems, optimizing their performance for enterprise and consumer use cases.

Lead design and build of an end-to-end AI contract-review agent: prompt orchestration, RAG pipelines, fine-tuning, web UI and tooling, data/model infra, deployment (CI/CD/cloud), and product-driven features like assumption mapping and contract diagnostics.

Design, build, and maintain network automation, monitoring and AI-driven automation solutions (LLMs, RAG, vector DBs). Develop software for predictive analytics and NLP, deploy CI/CD pipelines, integrate APIs, automate network provisioning, troubleshoot systems, create monitoring dashboards, and support audits and regulatory requirements.

Embed with enterprise clients to design, build, and operationalize agentic AI solutions in production: architect integrations with ERP and identity systems, write production-grade code, build retrieval pipelines, agent orchestration, guardrails, evaluation suites and observability, manage cutover and handover to support, and produce reusable patterns and accelerators.

Design, develop, and deploy agentic AI solutions to optimize network automation, predictive maintenance, anomaly detection, and intelligent network management. Collaborate with networking stakeholders to translate goals into technical requirements, ensure compliance with performance, risk, and regulatory standards, research emerging agentic AI trends, and provide troubleshooting, QA, and documentation for production AI systems.

Design, deploy, and maintain on-prem infrastructure for scalable AI inference workloads. Build GPU scheduling, model deployment pipelines, monitoring/observability, and collaborate with ML and platform teams to integrate inference runtimes and test performance at scale.

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

Design and deploy robotics AI solutions from simulation to real robots. Develop perception, sensor fusion, SLAM, planning, and edge-optimized ML models; integrate with ROS/ROS2 and NVIDIA robotics frameworks; optimize models for ONNX/TensorRT/JETSON; implement inference pipelines, monitoring, and reproducible training workflows; lead technical design, mentor engineers, and collaborate across hardware, firmware, and product teams.

The role involves driving technical sales strategy for AI solutions, consulting on data architectures, and presenting to C-level executives, requiring extensive customer-facing experience and AI proficiency.

As an AI Engineer at Amity AI Labs, you'll develop PoC-grade AI solutions, turn research into practical implementations, and collaborate with subsidiary teams on AI/ML projects.

The Senior .Net Developer will enhance SDG's C#/.NET Core codebase, design high-load services, and optimize MS SQL queries, benefiting from a remote work environment and attractive benefits.

Hands-on software engineer building MVPs and production-ready API- and AI-enabled cloud solutions. Responsibilities include end-to-end design, API/backend development, integrations with telecom and enterprise platforms, prototyping with LLMs/Agentic AI, cloud-native deployment (Kubernetes/CI-CD), and collaborating with product, security, and partner teams.

Develop and optimize machine learning algorithms, train and evaluate AI models, preprocess data, collaborate on deployment, and drive research innovations in AI.

Assist in developing and optimizing AI models, supporting deep learning techniques, and collaborating with engineering teams. Continuous learning and contribution to projects are emphasized.

As a Python and Kubernetes Software Engineer, you will develop data analytics solutions using open source tools, collaborating with a distributed team.

The Full Stack Engineer will develop AI-driven features, design workflows, ensure system reliability, and collaborate with cross-functional teams to integrate AI capabilities into chat applications.

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