Senior .NET AI Engineer: Cloud-Native & LLMs

New York Technology Partners; Chicago (IL); On-site; USD 120,000 - 190,000; Full time

Job summary

New York Technology Partners in Chicago seeks a .NET with AI Engineer to design, develop, and maintain scalable cloud-native applications, melding full-stack engineering with AI/ML for Generative AI and LLM-enabled solutions.

You will build AI-powered features, REST/GraphQL APIs, and data pipelines, deploy on Azure and Kubernetes, and implement MLOps, security, and Responsible AI practices across teams.

Qualifications

• 6+ years of full-stack development with .NET technologies.
• Hands-on experience with ReactJS and API development.
• Experience with Azure, Kubernetes, and CI/CD pipelines.
• Experience building AI-powered applications using LLMs and Generative AI.
• Knowledge of machine learning lifecycle, model deployment and monitoring.
• Experience using AI-assisted development tools such as GitHub Copilot, Microsoft Copilot, Codex, Claude, ChatGPT, Cursor or similar

Responsibilities

• Design and develop enterprise applications using .NET Core and ReactJS.
• Build and maintain REST and GraphQL APIs and microservices.
• Develop 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 and Responsible AI principles.
• Perform code reviews, mentor developers and support production releases

Skills

Python and AI/ML frameworks

MLOps CI/CD DevOps

Tools

Azure

Kubernetes

GitHub Copilot

Microsoft Copilot

Codex

Claude

ChatGPT

Job description

New York Technology Partners in Chicago seeks a .NET with AI Engineer to design, develop, and maintain scalable cloud-native applications, melding full-stack engineering with AI/ML for Generative AI and LLM-enabled solutions.

You will build AI-powered features, REST/GraphQL APIs, and data pipelines, deploy on Azure and Kubernetes, and implement MLOps, security, and Responsible AI practices across teams.