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.NET AI Engineer

New York Technology Partners · Anywhere

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About the Role

.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

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