AI Engineer

Inizio Partners Corp

  • New York
  • 28 days ago

    Highlights

    You will bridge the gap between advanced GenAI capabilities and production-grade software, writing the code that extracts data from emails, enriches it via web scraping, and serves it through a modern React interface. Data Enrichment: Build web-scraping pipelines to gather external ratings and risk data, implementing fuzzy matching logic to reconcile customer identities.

    Numbers & Facts

    LocationNew York
    Websitehttps://www.iniziopartners.com

    Description

    Role: Senior AI Engineer (GenAI & Azure/ .NET Full-Stack Integration)
    Experience: 10–12 Years
    Location: United States

    Role Summary:
    We are looking for a Senior AI Engineer to build and maintain an automated insurance document processing system. You will bridge the gap between advanced GenAI capabilities and production-grade software, writing the code that extracts data from emails, enriches it via web scraping, and serves it through a modern React interface.

    Key Responsibilities:

    • LLM Implementation: Build and optimize prompts and "Agentic" workflows to convert complex insurance documents into precise JSON formats for storage in SQL/Cosmos DB.
    • Feature Development:Develop and maintain business logic within .NET Core APIs and create intuitive UI components in React for data validation and risk assessment.
    • Data Enrichment: Build web-scraping pipelines to gather external ratings and risk data, implementing fuzzy matching logic to reconcile customer identities.
    • Optimization: Implement Azure AI Foundry for model monitoring, focusing on reducing latency and costs in the RAG pipeline.
    • Maintenance: Debug complex interactions between the LLM orchestration layer and the core business logic, ensuring high reliability for the document submission lifecycle.

    Qualifications:

    • 10+ years of professional engineering experience with a heavy focus on GenAI integration.
    • Proficiency in .NET Core, React, and Python-based AI frameworks (LangGraph, Semantic Kernel, or FastAPI).
    • Hands-on experience with Azure AI Search, RESTful API design, and CI/CD (GitHub Actions/Azure DevOps).
    • Ability to translate complex business rules into both deterministic code and LLM prompts.

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