Full Stack .Net Developer AI/ML - W2
Listed on 2026-06-18
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Software Development
Azure, .NET Developer, Cloud Engineer - Software, AI Engineer (Applied/Software)
Job title: Full Stack .Net Developer w/AI/ML
Location: Franklin, TN (Onsite)
Position type: W2
Design, develop, and deploy scalable full-stack applications using .NET (C#, ASP.NET Core) across On-Premise and Azure environments. Build and integrate AI/ML-driven features using Azure AI, OpenAI, or other ML services to enhance business capabilities. Develop and consume RESTful APIs and microservices, ensuring high availability and performance. Integrate healthcare systems using FHIR, HL7, and APIs, ensuring secure and HIPAA‑compliant data processing. Implement CI/CD pipelines, automation, and observability using Azure Dev Ops and modern Dev Ops practices.
Apply cloud-native architecture principles, including containerization (AKS), serverless (Azure Functions), and event‑driven design. Ensure application security, performance optimization, and test automation across the SDLC. Collaborate with cross‑functional teams to deliver high‑quality, secure, and AI‑enabled solutions. Candidate should have 8+ years of hands‑on experience in full‑stack development, preferably in .NET and Azure‑based environments.
- Strong .NET Full Stack Development (Mandatory)
- Expertise in C#, ASP.NET Core, Web APIs
- Experience in building scalable, enterprise‑grade applications
- Strong understanding of backend services and frontend integration
- AI / ML Integration Experience (Key Requirement)
- Hands‑on experience with Azure AI, OpenAI, or ML services
- Ability to integrate AI/ML models into applications
- Understanding of automation, intelligent workflows, and data‑driven solutions
- Azure Cloud & Microservices Architecture
- Strong knowledge of microservices and event‑driven architecture
- Familiarity with CI/CD, cloud security, and scalable deployment patterns
- Strong knowledge of microservices and event‑driven architecture
- Familiarity with CI/CD, cloud security, and scalable deployment patterns
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