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Data Engineer / AI Knowledge Systems Specialist
Build and maintain AI-ready knowledge systems by cleaning, structuring, and connecting client data for RAG chatbots and enterprise copilots using vector search and embeddings.
Senior Analytics Engineer
Build AI-powered analytics systems that let business users query data conversationally, design semantic models, and deploy LLM agents using Python, SQL, and agentic frameworks.
Full Stack Engineer MTS 2 – AIRI
Build and lead production AI systems for a global ecommerce platform, including LLMs, agents, and retrieval-augmented generation, spanning design, deployment, and monitoring.
Full stack Engineer MTS 1 – AIRI
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.
SGunited Jobs Data & AI Platform Engineer
Build and maintain AI-powered document parsing pipelines using OCR, VLM, and RAG to extract, index, and retrieve structured data from PDFs, images, and videos for GenAI applications.
Data & AI Platform Engineer-
Build and maintain AI-powered document parsing pipelines, OCR/VLM systems, and RAG knowledge bases on Azure to extract and structure data from PDFs, images, and videos for GenAI applications.
Data & Integration Engineer (GenAI & Enterprise Data Integration) - Banking
Designs and maintains enterprise data pipelines and integrations to power GenAI initiatives in banking, using REST APIs, batch processing, and tools like Informatica and Cloudera.
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 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).
M40 - Full Stack Engineer (AI)
Builds and maintains a full-stack web app and integrates enterprise AI solutions using LLMs, RAG, and agentic frameworks in AWS.
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.
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.
Python Developer (AI / LLM/ RAG)
Build AI-powered Microsoft Teams bots using Python, M365 Agent SDK, and RAG with Azure AI Search and LLMs to deliver conversational, enterprise-grade solutions.
Python Developer
Build AI-powered Microsoft Teams bots using Python, M365 Agent SDK, and RAG pipelines with Azure AI Search and LLMs.
Senior Machine Learning Engineer
Builds and deploys large-scale AI systems for ZoomInfo’s data platform, including recommendation engines, NLP models, and agentic workflows using LLMs, vector search, and MLOps pipelines.
Principle Data Engineer
Principal Data Engineer builds AI-powered platforms and data foundations at Microsoft, designing cloud-native systems, agentic workflows, and LLM-driven solutions to turn enterprise data into actionable intelligence.
Data Science ML/GenAI Engineer
Build and productionize NLP/LLM solutions (RAG, embeddings, text classification) to enhance Irth’s infrastructure and data pipelines for energy, utility, and telecom sectors.
Principal Software Engineer
Principal Software Engineer at Microsoft Azure Core designs and improves cloud infrastructure, solving reliability and scalability challenges for global customers using languages like C++, Python, and Java.
Principal Search Consulting Architect
Principal Search Architect designs and scales massive Elasticsearch clusters for Fortune 500 clients, integrating AI-powered semantic search and optimizing distributed systems for high-performance retrieval.