AI Developer

Role & responsibilities

• Design and integrate Generative AI capabilities into enterprise applications using Azure OpenAI and Azure AI Services.
• Develop and maintain scalable back-end services and business logic using C# / .NET.
• Build modern, responsive front-end interfaces using React and TypeScript.
• Design, develop, and integrate REST APIs to connect AI services with enterprise applications.
• Deploy and manage application infrastructure using Azure App Services, Azure Storage, and Azure SQL.
• Set up and maintain CI/CD pipelines in Azure DevOps to automate build, test, and release workflows.
• Integrate AI models and apply prompt engineering and RAG (Retrieval-Augmented Generation) patterns to build reliable, production-grade AI features.
• Build content extraction, classification, and analytics solutions powered by AI/ML models.
• Follow Git-based version control, Agile ceremonies, and modern software development practices throughout the development lifecycle.
• Work across the full technology stack to rapidly translate business requirements into scalable, Azure-based solutions.

Preferred candidate profile

• 4+ years of experience in software engineering or AI application development.
• Hands-on experience with Azure OpenAI and Azure AI Services.
• Proficiency in C# / .NET for back-end development.
• Experience building front-end applications with React and TypeScript.
• Strong REST API design, development, and integration skills.
• Practical experience with Azure App Services, Azure Storage, and Azure SQL.
• Experience with Azure DevOps and CI/CD pipeline setup.
• Familiarity with AI model integration, prompt engineering, and RAG patterns.
• Experience building content extraction, classification, or analytics solutions.
• Solid grasp of Git, Agile methodologies, and modern software development practices.

Nice to Have

• Experience with Python.
• Exposure to Azure AI Foundry.
• Knowledge of multi-modal AI (text, image, audio, video).
• Background in Machine Learning and intelligent document processing.
• Experience with enterprise application architecture and cloud deployment.