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AI Data Engineer (Data & Analytics) Data and Analytics at COMPLY: COMPLY is the worlds leading aggregator of financial and regulatory data to support compliance. Our mission is to help financial institutions meet…
Senior engineer building data and AI platforms that power LLM retrieval, knowledge graphs, and semantic search for lululemon’s retail systems.
Build and maintain data systems and AI-enabled platform capabilities, including semantic models, retrieval pipelines, and LLM grounding for a retail-tech company.
Lead the build and governance of Americana’s cloud data platform (Azure Synapse/Fabric), Power BI semantic layer, and AI-ready data foundation across 13 markets and 2,749+ restaurants.
Build and deploy AI agents using LLMs (OpenAI, Claude, Gemini) and frameworks like LangChain to automate workflows and enhance fintech operations.
Build and deploy enterprise-grade AI solutions, including GenAI agents and RAG systems, using Python, cloud platforms (Azure/AWS), and frameworks like LangChain to improve customer experience and operational efficiency in an insurtech company.
Lead the AI engineering squad and design the core AI architecture for a unified, AI-powered fintech platform integrating LLMs, retrieval systems, and agentic workflows into financial services.
Build and deploy AI systems using semantic search, RAG, and multi-agent workflows with LLMs and NLP/NLU techniques in Python and cloud platforms.
Build and deploy AI-powered applications using LLMs, RAG pipelines, and vector search. Integrate LLM APIs into production systems with Python and cloud tools.
Builds full-stack Clojure features for a retail AI platform, including PostgreSQL schemas, APIs, UIs, LLM integrations, and semantic search over large catalogs.
Senior Data Engineer builds and maintains a Python/Scrapy pipeline that scrapes legal/regulatory sources, normalizes data, and powers a React frontend for compliance teams.
Build and scale the backend platform that powers AI-driven travel experiences, integrating ML models and vector search for real-time personalization at global scale.
Builds and scales data pipelines, crawlers, and semantic search systems using Golang/Node.js, MongoDB, PostgreSQL, and vector databases to power AI-driven financial analytics and RAG workflows.
Build and scale data pipelines, crawlers, and semantic search systems using Golang/Node.js, PostgreSQL, and vector databases to power AI-driven financial analytics and RAG integrations.
Mô tả công việc: Key Responsibilities Data Engineering Pipelines Build and maintain data pipelines for Amazon SP-API, Advertising API, and other e-commerce platforms. Collect and process product reviews, sales,…
Design and build LLM-powered multi-agent systems for digital banking using Google ADK and LangGraph, integrating RAG pipelines, tool calling, and robust orchestration for production deployment.
Build and maintain cloud-based data platforms and AI solutions, integrating heterogeneous data sources to enable advanced analytics, Generative AI, and machine-learning use cases for supply-chain and industrial clients.
Lead a data engineering team to build and scale AI-driven pipelines for a fintech startup, using GCP, Python, and LLM-based enrichment to analyze financial data.
Build full-stack features using React/Next.js, TypeScript, and Postgres/Supabase, integrating AI agents and LLM/MCP-based tools for a fintech platform serving banks and funds.
Senior AI Platform & Data Engineer builds and maintains GenAI pipelines, integrating data sources, automating workflows, and enabling RAG systems and LLMs for enterprise AI applications.
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