Job at a glance
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.