Top AI Jobs in Singapore

Manage strategic customer relationships to position Cisco AI architectures, lead technical PoC/PoV engagements, develop proposals and forecasts, influence C-suite decisions, collaborate with solution engineers and account teams, and drive revenue expansion through complex, cross-architectural solutions and long-range account strategies.

Internship role supporting development, optimization, and deployment of computer vision models. Write Python code with PyTorch/TensorFlow, integrate vision solutions, run experiments, participate in code reviews and agile processes, and collaborate across engineering, product, and data teams to build prototypes and production features.

Design and implement complex backend services for Binance Square. Collaborate with product, DevOps, and QA to deliver high-quality microservices, promote engineering best practices, and perform code reviews.

Early-career intern will support AI projects for compliance and risk (KYC, KYB, EDD). Tasks include testing and optimizing LLM/Agent workflows, reviewing prompts and model outputs, documenting findings and edge cases, supporting small-scale implementations, and performing operational analysis to improve processes.

Lead and develop AIAP projects and technologies, train and mentor AI apprentices, manage recruitment and syllabus updates, and run workshops and community engagement while delivering end-to-end AI solutions.

Design and build secure integrations between a Digital Twin platform and enterprise systems (CMMS, BMS, SCADA, IoT). Implement REST APIs, automation pipelines, and Model Context Protocol tools to enable human-supervised AI agent workflows with audit trails, permissions, and safeguards. Collaborate with architects, product, and FM partners to translate requirements into scalable, secure integrations.

Early-career full stack engineer role to build end-to-end product features, integrate AI coding tools into the workflow, mentor peers, improve cross-team efficiency, and contribute across the product lifecycle from design through deployment.

Build and maintain full-stack web applications using React/Vue frontends and Java/Spring Cloud microservices. Design and consume REST/AI model APIs, work with SQL and NoSQL databases, use AI-assisted development tools, own features end-to-end, collaborate across product and design, ensure high-quality UI/UX, write tests, and contribute to documentation and architecture.

Join as an early-career full stack engineer to build frontend and backend product features, integrate AI coding tools into development workflows, translate product requirements into implementations, and grow toward autonomous full stack delivery while improving cross-team processes.

Support development of internal LLM-based tools (coding assistants, RAG pipelines, prompt optimization), improve engineering efficiency, test and document AI tools, and research emerging AI technologies.

Build AI-driven developer tools: coding assistants, knowledge retrieval, workflow automation, and LLM-powered apps for code generation, understanding, and test automation. Collaborate with engineering teams to identify pain points, ship solutions, and experiment with prompt engineering, RAG, and AI agents.

Early-career role building AI-powered developer tools and internal LLM applications. Tasks include coding assistants, lightweight RAG pipelines, prompt optimization, testing, documentation, and researching emerging AI technologies to improve engineering productivity.

Early-career research role designing and running experiments on LLM reasoning, post-training alignment, and test-time scaling. Implement model variants and training pipelines in PyTorch/Hugging Face, evaluate on crypto-native data, maintain experiment tracking (W&B), and partner with engineering to translate research to production.

Lead and coordinate AI projects across teams, design and deploy AI solutions for land transport, uplift internal AI capabilities, engage industry partners, and drive experimentation in ML, generative and agentic AI.

Lead development and deployment of agentic AI and RAG solutions for network automation, predictive maintenance, anomaly detection, and intelligent network management. Architect scalable network AI systems, drive AI strategy with networking teams, mentor engineers, implement MLOps/CI-CD, and ensure performance, governance, and regulatory compliance.

Build and operate distributed backend services and genomic reasoning engines that combine whole genome bioinformatics with AI. Design scalable data models, retrieval and vector search systems, and deterministic guardrails to ensure scientifically accurate, explainable genomic AI for production use.

Design and build production AI systems and distributed backend services that enable genomic reasoning, retrieval, and data platforms. Integrate genomic annotations and interpretation logic, architect high-performance data models and storage across PostgreSQL, DuckDB, Qdrant, Redis, and Spark. Ensure AI outputs are accurate, explainable, and grounded in genomic evidence while collaborating across engineering and bioinformatics teams.

Seeking a Semiconductor Reverse Engineering Specialist to develop AI-driven solutions, collaborating on workflows and knowledge systems while ensuring technical accuracy and validation of AI outputs.

Manage the delivery of Trade Finance transformation projects, coordinating teams, managing project resources, timelines, and ensuring project alignment with strategic goals.

The Managing Director will lead enterprise sales and business development efforts in Singapore and SEA, focusing on high-value deals with financial institutions. They will build partnerships, manage the sales pipeline, and represent the company at industry events.

Lead software development for AI-driven banking solutions, ensuring high-performance, scalable code and integration with AI algorithms across financial applications.

As a Data Scientist in AI Fintech, you will build machine learning models for fraud detection, analyze data, and ensure compliance with regulations.

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.

As a Senior AI Engineer, you will utilize AI engineering and delivery expertise to drive transformative projects for clients while building relationships and expanding your knowledge.

The AI Engineer will solve complex problems using AI engineering expertise, maintain client relationships, and continuously improve skills in AI and data.