Job Description
.NET AI Engineer
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About the Role
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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.
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What You'll Do
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- 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
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What You'll Bring
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- 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
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Nice to Have
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- Experience with Azure OpenAI, MLflow, or similar platforms
- Healthcare domain experience
- Knowledge of NLP, deep learning, and AI governance frameworks
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Why Join Us
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- 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
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