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Design and maintain high-throughput pipelines that ingest and transform unstructured data into vector embeddings for semantic search, powering national security analytics.
Data Engineer building scalable data pipelines and semantic search systems with vector embeddings to process hundreds of thousands of documents daily for national security insights at a Singapore government tech agency.
Designs scalable pipelines and builds vector embeddings for semantic search to power national security analytics using AI models and cloud-native services.
Full stack developer on a 12-month contract using AI-assisted coding tools to build and integrate LLM/GenAI capabilities (RAG, chatbots, agents) into enterprise web applications with modern JS/TS frontends and Node.js/Python/Go backends on cloud/container platforms.
Lead AI and full-stack development for a Singapore SME financing marketplace, building LLM-powered document analysis, credit/fraud models, and financial data pipelines using Python, modern web frameworks, and cloud platforms.
Senior Full-Stack Engineer at a cybersecurity startup building a cloud platform to identify and remediate cloud misconfigurations; owns frontend/backend development, works with AWS services, and scales secure, data-driven cloud solutions.
Hands-on Head of Development / Lead Software Architect for a Dubai-based multi-asset trading business, owning the full-stack development of web/mobile trading apps, MT4/MT5 integrations, and evolving third-party tech into proprietary IP using TypeScript, React, Node.js and similar frameworks.
Build and maintain the data and ML infrastructure for an AI-powered decision-support system, focusing on record matching, relevance scoring, and grounded generation in a secure government environment.
Build and maintain the data and ML infrastructure for an AI-driven decision-support system, focusing on record matching, relevance scoring, and grounded generation in a secure, accredited environment.
Build and secure AI-enabled applications using LLMs, RAG pipelines, and vector search; deploy in FedRAMP environments and ensure compliance with accessibility and adversarial testing standards.
Builds agentic AI systems for commercial real estate using LangGraph, AWS Bedrock, and retrieval pipelines to power research, document generation, and zoning tools for brokers and investors.
Senior AI Engineer builds and deploys generative AI systems using LLMs, RAG, agents, and vector search, working remotely in LATAM or the US.
Glance AI is an AI commerce platform shaping the next wave of e-commerce with inspiration-led shopping, less about searching for what you want and more about discovering who you could be. Operating in 140 countries,…
Product Manager owning the search roadmap (query understanding, retrieval, ranking, personalization) for Glance AI's AI commerce platform, partnering with AI/ML and engineering teams to improve search relevance and build multimodal search experiences.
Build and deploy AI/ML models and scalable backend services in Python and Go to power financial news analytics and real-time data APIs for global investors.
This role involves building and maintaining secure, scalable backend microservices for digital banking platforms using Java, Spring Boot, and Kafka. The engineer will lead distributed systems design and mentor team members while ensuring high availability and performance in a regulated financial environment.
Build responsive web and mobile applications using React/React Native while integrating AI/LLM capabilities—prompt engineering, AI agents, RAG—using Python and frameworks like LangChain.
The Senior AI Engineer will build and deploy production-grade LLM features into the Kayzen mobile demand-side platform console. This role focuses on practical, full-stack AI development, including RAG and agentic systems, rather than academic research.
Build and scale an enterprise-grade AI platform, integrating LLMs, vector databases, and distributed systems in Python to deliver scalable backend services and intelligent product features.
Senior Staff Engineer builds and evolves Bloomreach’s large-scale, low-latency search platform using Java/Python and cloud infrastructure, combining traditional IR with ML-driven ranking and semantic search.
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