.NET AI Engineer (Greater Chicago Area)

.Net AI Engineer

We are seeking a .NET with AI Engineer to design, develop, and maintain scalable cloud-native applications while building AI-powered solutions using Generative AI, LLMs, and modern Azure services. The role combines full-stack engineering expertise with AI/ML capabilities to drive application modernization and intelligent automation.

Required Technical Skills

• .NET Core/ASP.NET Core, C#, ReactJS

• RESTful APIs, GraphQL, Microservices

• Azure Cloud Services, Kubernetes, Azure SQL/SQL Server

• Generative AI, LLMs, Prompt Engineering, RAG

• Python and AI/ML frameworks

• Azure OpenAI, Azure AI Services

• MLOps, CI/CD, Git and DevOps practices

Required Experience

• 6+ years of full-stack development with .NET technologies

• Hands-on experience with ReactJS and API development

• Experience with Azure, Kubernetes, and CI/CD pipelines

• Experience building AI-powered applications using LLMs and Generative AI

• Knowledge of machine learning lifecycle, model deployment and monitoring

• Experience using AI-assisted development tools such as GitHub Copilot, Microsoft Copilot, Codex, Claude, ChatGPT, Cursor or similar

Key Responsibilities

• Design and develop enterprise applications using .NET Core and ReactJS

• Build and maintain REST and GraphQL APIs and microservices

• Develop AI-powered chatbots, assistants, recommendation systems and automation solutions

• Build and optimize Generative AI applications using LLMs and RAG architectures

• Deploy and manage applications and AI solutions on Azure and Kubernetes

• Develop data pipelines and support model training and inference workloads

• Implement MLOps practices for deployment, monitoring and lifecycle management

• Ensure compliance with security and Responsible AI principles

• Perform code reviews, mentor developers and support production releases

Preferred Qualifications

• Experience with Azure OpenAI, MLflow or similar platforms

• Healthcare domain experience preferred

• Knowledge of NLP, deep learning and AI governance frameworks