NET AI Engineer

We are seeking a highly skilled .NET AI Engineer to design, develop,Mandatory Skillsand deploy AI-driven applications leveraging the Microsoft technology ecosystem. The ideal candidate will possess strong expertise in .NET development, Azure AI Services, Generative AI, OpenAI technologies, cloud platforms, and modern software engineering practices.

This role involves developing intelligent enterprise applications, integrating Large Language Models (LLMs), building AI agents, and delivering scalable, secure, and innovative AI solutions., * Design, build, and maintain enterprise-grade applications using C#, .NET Core/.NET 8, ASP.NET MVC, and Web APIs.

• Integrate Generative AI capabilities utilizing Azure OpenAI, OpenAI APIs, and Microsoft AI Services.
• Develop AI-powered solutions such as chatbots, copilots, intelligent search platforms, and workflow automation systems.
• Architect and optimize Retrieval-Augmented Generation (RAG) applications using vector databases.
• Implement AI orchestration frameworks including Semantic Kernel, LangChain, AutoGen, or equivalent technologies.
• Design and develop RESTful APIs and microservices to support AI-enabled applications.
• Apply advanced prompt engineering techniques and AI model optimization strategies.
• Work with databases including SQL Server, Cosmos DB, PostgreSQL, and MongoDB.
• Deploy and manage applications on Microsoft Azure using App Services, Azure Functions, AKS, and containerized environments.
• Ensure solution security, scalability, governance, and compliance with enterprise standards.
• Collaborate with architects, business stakeholders, and cross-functional teams throughout the project lifecycle.

Required Technical Skills

.NET Development

• C#
• .NET Core / .NET 8
• ASP.NET MVC & Web API
• Entity Framework Core
• LINQ
• Dependency Injection
• Microservices Architecture
• REST API Development

AI & Generative AI

• Azure OpenAI Service
• OpenAI APIs (GPT Models)
• Prompt Engineering
• Retrieval-Augmented Generation (RAG)
• AI Agent Development
• Semantic Kernel
• LangChain
• LLM Fine-Tuning Concepts
• Vector Databases:
• Azure AI Search
• Pinecone
• Weaviate
• ChromaDB

Cloud & DevOps

• Microsoft Azure
• Azure Functions
• Azure App Services
• Azure AI Services
• Docker
• Kubernetes (AKS)
• CI/CD Pipelines
• Azure DevOps
• GitHub Actions

Databases

• SQL Server
• Cosmos DB
• PostgreSQL
• MongoDB
• Data Modeling & Performance Optimization

• GitHub Copilot
• JSON
• Microservices
• Prompt Engineering
• Azure OpenAI
• C#
• REST APIs
• Azure Cloud Services
• AI/Generative AI Development, * Experience with Microsoft Copilot Studio
• Knowledge of Machine Learning (ML) and MLOps
• Experience integrating solutions with the Microsoft Power Platform
• Familiarity with Natural Language Processing (NLP), OCR, Speech-to-Text, and Azure Document Intelligence
• Exposure to TensorFlow, PyTorch, and Python AI frameworks
• Experience working on Banking, Financial Services, and Insurance (BFSI) domain projects

Educational Qualifications

• Bachelor’s or Master’s degree in Computer Science, Information Technology, Engineering, or a related discipline

Key Competencies

• Strong analytical and problem-solving abilities
• Excellent communication and stakeholder management skills
• Experience working in Agile/Scrum environments
• Advanced debugging, troubleshooting, and performance optimization expertise
• Passion for continuous learning and adoption of emerging AI technologie, * Microsoft Certified: Azure Solutions Architect Expert
• Generative AI / OpenAI Certifications
• Microsoft Azure Data Engineer Certifications

Experience Requirements

• Hands-on experience with Azure OpenAI, Semantic Kernel, and Azure AI Search
• Proven experience designing and deploying AI-powered enterprise applications on Microsoft Azure
• Strong understanding of AI application architecture, LLM integration, and cloud-native development

Skills

Mandatory Skills : .Net Core, GitHub Co-Pilot, JSON, Microservices, Prompt Engineering