.NET Developer

New York Technology Partners

New York (NY)

On-site

USD 140,000 - 190,000

Full time

14 hours ago
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Job summary

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.

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, 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.

Skills

Full-stack development
NET Core
ASP.NET Core
C#
ReactJS
REST APIs
GraphQL
Microservices
AI/ML

Tools

Azure Cloud Services
Kubernetes
Azure SQL/SQL Server
CI/CD pipelines
GitHub Copilot

Job description

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
  • 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
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