.NET Developer

.NET AI Engineer

About the Role

We're looking for a .NET AI Engineer to design, build, and maintain scalable cloud-native applications and to develop AI-powered solutions using Generative AI, LLMs, and modern Azure services. This role blends full-stack engineering with applied AI/ML to drive application modernization and intelligent automation.

What You'll Do

• Design and develop enterprise applications using .NET Core and ReactJS
• Build and maintain REST and GraphQL APIs and microservices
• Create 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 standards and Responsible AI principles
• Perform code reviews, mentor developers, and support production releases

What You'll Bring

• 6+ years of full-stack development experience with .NET technologies
• Strong skills in .NET Core/ASP.NET Core, C#, and ReactJS
• Hands-on experience with RESTful APIs, GraphQL, and microservices
• Experience with Azure Cloud Services, Kubernetes, Azure SQL/SQL Server, and CI/CD pipelines
• Experience building AI-powered applications using LLMs and Generative AI, including prompt engineering and RAG
• Proficiency in Python and AI/ML frameworks
• Working knowledge of Azure OpenAI and Azure AI Services
• Understanding of the machine learning lifecycle, including model deployment and monitoring
• Solid grounding in MLOps, Git, and DevOps practices
• Experience using AI-assisted development tools such as GitHub Copilot, Microsoft Copilot, Codex, Claude, ChatGPT, or Cursor

Nice to Have

• Experience with Azure OpenAI, MLflow, or similar platforms
• Healthcare domain experience
• Knowledge of NLP, deep learning, and AI governance frameworks

Why Join Us

• Work on real-world AI solutions, not just proofs of concept
• Modern cloud-native stack with Azure and Kubernetes
• A team that embraces AI-assisted development
• Opportunity to mentor others and shape engineering best practices