N
.NET AI Engineer
New York Technology Partners
2 hours ago
Full-time
On-site
Chicago, Illinois, United States
.Net AI Engineer
Be one of the first applicants, read the complete overview of the role below, then send your application for consideration.
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 xsgimln 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
Be one of the first applicants, read the complete overview of the role below, then send your application for consideration.
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 xsgimln 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