Dotnet Azure AI Developer

Global Bridge Info Tech (GBIT); India; Remote; INR 1,800,000 - 3,000,000; Full time

Job summary

Global Bridge Info Tech (GBIT) seeks an experienced .NET/Azure specialist to build cloud-native applications on Azure, with a focus on OpenAI integrations and AI-driven features. You will design REST APIs, implement Prompt Engineering and RAG-based solutions, and collaborate with AI, data and product teams to deliver scalable solutions using .NET and Python (FastAPI/Flask).

Candidates should have 5–10 years of hands-on experience, strong cloud skills, and a track record of shipping

Qualifications

• 5-10 years of hands-on experience in cloud-native .NET/Azure development.
• Experience integrating Azure OpenAI / LLM-based solutions into enterprise apps.
• Strong REST API design, microservices architecture, and AI feature integration.

Responsibilities

• Develop and maintain cloud-native applications using .NET and Azure.
• Integrate Azure OpenAI and LLM-based solutions into enterprise applications.
• Design and implement Prompt Engineering and RAG-based AI solutions.
• Develop REST APIs and AI integration services using .NET and Python (FastAPI/Flask).
• Deploy and manage applications on Azure cloud environments.
• Collaborate with AI, Data, and Product teams to build intelligent solutions.

Skills

C#

ASP.NET Core

.NET 6/7/8

REST APIs

Microservices

Python

FastAPI

Flask

Tools

Azure

Azure OpenAI

GitHub

Docker

Azure DevOps

AKS

Cosmos DB

SQL Server / Azure SQL

Service Bus

Key Vault

Job description

Experience: 5-10 Years

Required Skills:

• C#, ASP.NET Core, .NET 6/7/8, Web APIs, Microservices
• Azure Services: App Services, Functions, API Management, Service Bus, Key Vault, Storage, AKS
• Azure OpenAI, Generative AI, LLMs, Prompt Engineering
• RAG, AI Search, Semantic Search, Vector Databases
• Basic to Intermediate Python, FastAPI, Flask
• SQL Server, Azure SQL, Cosmos DB
• Azure DevOps, GitHub, Docker

Responsibilities:

• Develop and maintain cloud-native applications using .NET and Azure.
• Integrate Azure OpenAI and LLM-based solutions into enterprise applications.
• Design and implement Prompt Engineering and RAG-based AI solutions.
• Develop REST APIs and AI integration services using .NET and Python (FastAPI/Flask).
• Deploy and manage applications on Azure cloud environments.
• Collaborate with AI, Data, and Product teams to build intelligent solutions.

Preferred Skills:

• Semantic Kernel
• LangChain
• AI Agents / Agentic AI
• Azure AI Search
• Azure AI Foundry

Strong experience in .NET + Azure, with hands-on exposure to Azure OpenAI, Prompt Engineering, LLMs, RAG, and working knowledge of Python, FastAPI, and Flask for AI application development.