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Build and deploy AI applications and data pipelines for a Singapore government agency, ensuring security compliance and operational reliability.
Build and scale enterprise-grade AI Agent systems, focusing on RAG, tool-calling, and multi-agent collaboration for intelligent automation workflows.
Build AI-ready data pipelines and knowledge systems for an investment firm’s agentic AI, integrating structured financial data, unstructured research, and real-time feeds into vector stores, graph databases, and retrieval pipelines.
Backend Engineer building scalable AI orchestration frameworks, RAG systems, and cloud-native AI services using Python, PostgreSQL, and vector databases to power enterprise-grade generative AI applications.
Build and operate cloud-native data pipelines and AI solutions using Java, AWS, and Snowflake, designing scalable, secure data products for enterprise clients.
Design and build scalable LLM-powered backend systems for TikTok Live, integrating cutting-edge AI models like RAG into global-scale streaming infrastructure.
Lead AI-powered analytics and Agentic AI solutions to drive business performance across ASEAN & South Pacific, building predictive/prescriptive models and deploying scalable ML systems using Python, Azure, and Databricks.
Designs and implements cloud data pipelines and AI-driven solutions for clients, integrating vector databases and RAG techniques to meet business goals.
Design and build backend systems for a GenAI platform, focusing on LLM inference, RAG, and agent-based workflows with strong data protection and scalability.
Senior Backend Engineer building a secure GenAI platform with LLM inference, RAG, and agent workflows for enterprise use, focusing on privacy, compliance, and high-performance systems.
Build and maintain web apps and APIs for a digital asset platform, integrating crypto exchanges, banking rails, and AI coding assistants while learning to apply LLM features.
Build full-stack web apps and AI-enabled solutions for airport operations and passenger experience using React, AWS, and generative AI tools.
Build and deploy full-stack cloud-native apps using Node.js, React, and AWS services; implement GenAI features with RAG via AWS Bedrock.
Build and maintain SGInnovate’s Deep Tech Central platform using full-stack skills (Next.js, NestJS, PHP, Drupal) and integrate AI features with AWS Lambda, vector databases, and LLM APIs.
Build full-stack web apps and AI-enabled solutions for airport operations and passenger experience using Python/JavaScript, React, and AWS cloud services.
Build and deploy generative-AI agents and copilots for enterprise clients, bridging business needs with technical implementation using platforms like Copilot Studio and RAG.
Build and deploy full-stack AI applications using Anthropic's Claude ecosystem, including agentic systems, RAG pipelines, and MCP integrations, while working embedded with clients to take AI products from idea to production.
Build AI-driven automation solutions using Python, Azure, and AI agents to streamline business processes and integrate systems.
Develops production-grade GenAI systems (agent frameworks, RAG pipelines) and integrates LLM models with enterprise systems and Azure cloud, focusing on backend Python, API design, and CI/CD.
Build next-gen AI systems using LangGraph and GraphRAG to enable natural-language queries and insights from distributed data, with Python and AWS.
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