Data Engineer

Randstad Digital Americas is an IT Digital Enablement Partner dedicated to revolutionizing how agents connect with brokers. They are seeking a Data Engineer with a deep background in Generative AI and RAG to build the engine that creates a holistic view of risk.

Responsibilities:

• GenAI Pipelines: Design and deploy LLM-based solutions to automate the extraction and synthesis of risk information from unstructured documents
• RAG Architecture: Build and optimize RAG pipelines using vector databases to provide context-aware insights for brokers and agents
• Multi-Agent Systems: Develop and manage multi-agent and multi-tenant models to handle complex, segmented data workflows across our partner ecosystem
• Hybrid Environment: Build and maintain robust data infrastructure within a Ruby and Python environment
• Holistic Data Modeling: Transform fragmented inputs (PDFs, Excel, etc.) into a unified, high-fidelity risk profile to drive platform connectivity

Requirements:

• Experience w/GenAI and/or LLM-based solutions
• Familiarity with LangChain and vector databases
• Experience with RAG architecture/pipelines
• Experience with multi-agent/multi-tenant models
• Experience in fintech or insurtech
• Degree in a quantitative field strongly