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Full Stack Technical Lead (AI + Google)
Lead full-stack AI projects on Google Cloud, designing scalable systems with LLMs, RAG, and multi-agent architectures while mentoring teams and enforcing AI-assisted development standards.
Full Stack Engineer (Mandarin-Speaking)
A full-stack engineer builds responsive web apps from front-end (React/Vue/Angular) to back-end (Node.js, Python), designs scalable APIs, and integrates AI tools to improve development efficiency while collaborating with cross-functional teams.
AI Fullstack Engineer
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.
Senior AI Full-Stack Engineer
Designs, builds, and deploys AI-powered apps end-to-end, integrating ML models with frontend and backend systems while ensuring performance and safety.
Advanced AI Full Stack Engineer
Build and deploy AI-powered applications end-to-end, from frontend to backend and LLMs, using Python, cloud services, and frameworks like LangChain.
Principal Full Stack Engineer (AI Systems)
Architect and build AI-powered workflows for SME back-office automation using LLMs, embeddings, and intelligent agents, while mentoring engineers to adopt AI-assisted development practices.
AI Full-Stack Engineer Graduate (TikTok Shop - SEA) - 2027 Start
Build full-stack AI-powered features for TikTok Shop’s SEA e-commerce platform, from front-end pages to back-end APIs and data pipelines, using AI coding tools to streamline development.
Junior DevOps Platform Engineer — Cloud, AI Tools
Maintains cloud infrastructure and DevOps pipelines, automates deployments with Kubernetes and AWS, and integrates AI tools like GitHub Copilot to streamline development workflows.
Senior Full Stack Engineer - A26150
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).
Backend / Full Stack Engineer (AI Agent Platform)
Builds backend and full-stack services for an AI Agent platform that automates workflows and integrates LLMs into scalable business systems.
Full Stack Engineer (Web AI)
Build and lead a GenAI-powered search platform using LLMs, RAG, and vector databases while mentoring engineers and defining scalable, secure architectures.
Full Stack Engineer (AI & GenAI) (2 Year Contract)
Build and deploy enterprise AI applications using LLMs, agentic workflows, and cloud-native tech. Day-to-day work spans full-stack development with Python, Next.js, React, and AWS, plus GenAI integrations via LangChain and AWS Bedrock.
AI Full Stack Engineer (1 Year Contract)
Build production-grade AI applications for Singapore’s education sector using TypeScript, React, NestJS, PostgreSQL, and AWS, integrating LLMs and observability tools.
Full Stack Engineer
Build AI-driven decentralized apps that merge LLM agents with blockchain middleware, integrating smart contracts, cross-chain protocols, and SDKs using Python/Node.js and React.
Full Stack Engineer (Mandarin-Speaking)
Builds and maintains web apps end-to-end using Node.js, Python, and AI tools; focuses on high-performance, scalable systems and responsive UIs.
M55 - Full Stack Engineer
Build and harden AI-enabled applications (chatbots, RAG, agents) from prototype to production, integrating Azure AI services and ensuring security, compliance, and observability.
Full Stack Engineer 0807-3
Build production-grade AI applications from prototypes, refactoring prototypes into secure, scalable solutions using Azure AI services, full-stack development, and responsible AI patterns.
Expert Backend Engineer (LLM, Big Data Product Application) - Data Infra Team
Build and own AI-native data products that turn natural-language questions into SQL, dashboards, and insights using LLM pipelines, backend services, and big-data infra.
Software Backend Engineer
Builds and maintains scalable backend services and cloud-native APIs for government projects using AWS, Java/Spring Boot or Node.js, and CI/CD pipelines.
Python Developer
Build AI-powered Microsoft Teams bots using Python, M365 Agent SDK, and Azure AI services, integrating LLMs with RAG pipelines and vector databases.