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Skills
Application Programming Interface (API)unmatched
Artificial Intelligence (AI)unmatched
Business Developmentunmatched
Continuous Deployment/Deliveryunmatched
Continuous Integrationunmatched
Cost Controlunmatched
Data Qualityunmatched
Debugging Skillsunmatched
DevOpsunmatched
Engineeringunmatched
Fuzzy Logicunmatched
GitHubunmatched
High Reliabilityunmatched
Insurance Documentationunmatched
JSONunmatched
Kernel Programmingunmatched
Microsoft .NETunmatched
Microsoft Windows Azureunmatched
Python Programming/Scripting Languageunmatched
REST (Representational State Transfer)unmatched
React.jsunmatched
Riskunmatched
Risk Analysisunmatched
SQL Databasesunmatched
User Interface/Experience (UI/UX)unmatched
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.