Salary: $106,000 - 146,000 per year
Requirements
- 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 with 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 with AI-assisted development tools such as GitHub Copilot, Microsoft Copilot, Codex, Claude, ChatGPT, or Cursor
- Preferred: experience with Azure OpenAI, MLflow, or similar platforms
- Preferred: healthcare domain experience
- Preferred: knowledge of NLP, deep learning, and AI governance frameworks
Responsibilities
- 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
- Conduct code reviews, mentor developers, and support production releases
Technologies
- AI
- ASP.NET
- Azure
- C#
- ChatGPT
- CI/CD
- Cloud
- Copilot
- Cursor
- DevOps
- Git
- GitHub
- GraphQL
- Support
- Kubernetes
- Machine Learning
- MLflow
- MLOps
- Model Training
- Python
- RAG
- REST
- SQL
- Security
- microservices
More
Were seeking a .NET AI Engineer to combine full-stack engineering with applied AI and machine learning, supporting application modernization and intelligent automation. Our team works on practical AI solutions, rather than proofs of concept, using a modern cloud-native Azure and Kubernetes stack. We embrace AI-assisted development and offer opportunities to mentor colleagues and shape engineering best practices.
last updated 41 week of 2026