Remote .NET AI Engineer: Generative AI & Azure ML

Akaasa Technologies; United States; Remote; USD 120,000 - 170,000; Full time

Job summary

Akaasa Technologies is seeking a .NET AI Engineer to design, develop, and maintain scalable cloud-native applications. You will build AI-powered solutions using Generative AI, LLMs, RAG, and Azure services while leveraging .NET, React, and modern DevOps practices.

You will work remotely with occasional client-site requirements for ID verification, collaborate with data scientists, platform engineers, and product teams, and contribute to AI-powered modernization and automation initiatives across

Qualifications

• 6+ years of full-stack development with .NET/C# and modern web frameworks.
• Strong experience with .NET Core, ASP.NET Core, ReactJS, REST APIs, GraphQL, and microservices.
• Hands-on with Azure, Kubernetes, Azure SQL/SQL Server, CI/CD, Git, and DevOps.
• Experience building AI-powered apps using Generative AI, LLMs, Prompt Engineering, and RAG.
• Familiar with Azure OpenAI and Azure AI Services and Python AI/ML workflows.
• Knowledge of MLOps, model deployment, monitoring and lifecycle management.

Responsibilities

• Design, develop, and maintain scalable cloud-native apps with .NET.
• Build AI-powered solutions using Generative AI, LLMs, and RAG on Azure.
• Collaborate across data science, platform, and product teams; implement CI/CD.

Skills

Full-stack dev

.NET/C#

ReactJS

REST APIs

GraphQL

Microservices

Azure

Kubernetes

Azure SQL

CI/CD

Git

DevOps

Generative AI

LLMs

Prompt Eng.

RAG

Azure OpenAI

Azure AI Services

Python

AI Frameworks

MLOps

Model Deployment

Monitoring

Tools

GitHub Copilot

Microsoft Copilot

Codex

Claude

ChatGPT

Cursor

Job description

Akaasa Technologies is seeking a .NET AI Engineer to design, develop, and maintain scalable cloud-native applications. You will build AI-powered solutions using Generative AI, LLMs, RAG, and Azure services while leveraging .NET, React, and modern DevOps practices.

You will work remotely with occasional client-site requirements for ID verification, collaborate with data scientists, platform engineers, and product teams, and contribute to AI-powered modernization and automation initiatives across