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Build and lead production AI systems for a global ecommerce platform, including LLMs, agents, and retrieval-augmented generation, spanning design, deployment, and monitoring.
Build production-grade AI features and services for a global ecommerce platform, integrating LLMs, RAG, and agent workflows using Java, Python, and cloud-native tools.
Builds and maintains GenAI-powered full-stack apps using React, AI search, vector databases, and MCP integrations.
Leads AI agent design, testing, and deployment for a financial group, focusing on robust, safe workflows and LLM evaluation in Python and Azure.
Build and scale the data infrastructure that powers LLM training, fine-tuning, evaluation, and RAG systems using cloud tools like AWS Glue, EMR, and Kubernetes.
6-month contract, renewable Government project Hybrid work arrangement We are seeking one Data Engineer to establish and maintain the data infrastructure required to integrate, process, govern and use these data…
Location Singapore About the Role We are looking for a Full Stack Engineer – Generative AI & Agentic AI to design, develop, and deliver modern enterprise applications while leveraging Generative AI and Agentic AI…
Build and deploy production-grade AI systems, integrating LLMs, vector databases, and agent frameworks to operationalize machine learning and generative AI solutions.
Build and ship AI-powered applications end-to-end, integrating LLMs, vector databases, and retrieval pipelines into production systems with full-stack ownership.
Build and ship AI-powered applications using LLM APIs, vector databases, and retrieval-augmented generation with agentic orchestration.
Build and deploy full-stack applications that integrate AI models, vector databases, and agent frameworks in a cloud-native environment.
Build and deploy AI-native full-stack applications using React/Next.js frontends and Python/Node.js backends with vector databases and LLM workflows on AWS or Azure.
Builds AI-powered interfaces for Eureka Materials, focusing on React/Vue frontends, data visualizations, and lightweight Node.js/Python backends to deliver AI Agent features and material-search workflows.
As a part of the Central AI-Core Studio & Delivery team, this role would require you to drive the design, build, and production delivery of AI-enabled applications for our core business lines. Key Responsibilities…
KPMG in Singapore is part of a global organization of independent professional services firms providing Audit, Tax and Advisory services. We operate in 138 countries and territories with more than 276,000 partners and…
Lead the design and build of a Singapore government-wide search platform using GenAI, vector search, and cloud-native stacks (Node.js/TypeScript, Azure/AWS/GCP).
Builds and maintains a full-stack web app and integrates enterprise AI solutions using LLMs, RAG, and agentic frameworks in AWS.
Build and lead a GenAI-powered search platform using LLMs, RAG, and vector databases while mentoring engineers and defining scalable, secure architectures.
Build and harden AI-enabled applications (chatbots, RAG, agents) from prototype to production, integrating Azure AI services and ensuring security, compliance, and observability.
Lead a team building AI-powered backend services in Python, cloud (Azure/AWS), and LLM-based apps, shaping product direction and mentoring engineers.
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