Senior .NET AI Engineer — Cloud-native AI & ML Ops

New York Technology Partners; New York (NY); Sur place; USD 140 000 - 190 000; Plein temps

Résumé du poste

New York Technology Partners is seeking a .NET AI Engineer to design, build, and scale cloud-native apps, using Generative AI, LLMs, and Azure services. You will architect full-stack solutions, mentor engineers, and ensure secure, compliant AI implementations while delivering production-ready features.

The role blends software engineering with applied AI/ML to drive modernization and intelligent automation across critical platforms.

Qualifications

• 6+ years of full-stack development experience with .NET technologies.
• Proficiency 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; familiarity with Azure OpenAI and Azure AI Services.

Responsabilités

• Design and develop enterprise applications using .NET Core and ReactJS.
• Build and maintain REST and GraphQL APIs and microservices.
• Create AI-powered chatbots, assistants, and recommendation systems.
• Build AI applications using LLMs, RAG architectures, and prompt engineering.
• Deploy and manage apps and AI solutions on Azure and Kubernetes.
• Develop data pipelines and support model training and inference workloads.
• Implement MLOps for deployment, monitoring, and lifecycle management.
• Ensure compliance with security standards and Responsible AI principles.

Connaissances

Full-stack development

NET Core

ASP.NET Core

C#

ReactJS

REST APIs

GraphQL

Microservices

AI/ML

Outils

Azure Cloud Services

Kubernetes

Azure SQL/SQL Server

CI/CD pipelines

GitHub Copilot

Description du poste

New York Technology Partners is seeking a .NET AI Engineer to design, build, and scale cloud-native apps, using Generative AI, LLMs, and Azure services. You will architect full-stack solutions, mentor engineers, and ensure secure, compliant AI implementations while delivering production-ready features.

The role blends software engineering with applied AI/ML to drive modernization and intelligent automation across critical platforms.