.Net AI Engineer

Temporary

Scadea

Job Title: .Net AI Engineer
Length: 6-10 months

Location: Remote but interviews or laptop pickup must occur at one of the following locations: San Francisco, Arlington, VA, Denver, CO, Chicago, Boston, NYC, Houston, Miami, Los Angeles, Seattle, Dallas, Atlanta, GA Minneapolis, MN, Birmingham, MI or Irvine, CA

Core Skills:
Full-stack development with .NET technologies
Experience with Azure
Experience building AI-powered applications using LLMs and Generative AI
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

Apply

Vacancy posted 5 days ago

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