Senior Full Stack AI Engineer

Job Title: Senior Full Stack AI Engineer

Experience: 8+ Years

Job Summary

We are seeking a Senior Full Stack AI Engineer to design, develop, and deliver intelligent, AI-powered enterprise applications. This role combines modern full-stack development with advanced AI/ML integration using Microsoft Copilot technologies, Azure AI Foundry, and cloud-native architectures.

The ideal candidate will work closely with product, data, and business teams to build secure, scalable, and user-centric AI-driven solutions, including Text-to-SQL, Adaptive Cards, and generative AI use cases.

Key Responsibilities

• Design, develop, and maintain full-stack applications with embedded AI capabilities

• Build and integrate AI solutions using Microsoft Copilot, Azure AI Foundry, and Azure AI services

• Implement Text-to-SQL solutions to convert natural language queries into optimized database queries

• Design and render rich, interactive UI experiences using Adaptive Cards

• Develop, deploy, and optimize AI/ML models for NLP, search, recommendation, and automation use cases

• Integrate AI services with APIs, databases, and enterprise systems

• Collaborate with data scientists and ML engineers to productionize AI models

• Ensure security, performance, scalability, and compliance of AI-enabled applications

• Monitor, evaluate, and continuously improve AI model performance and user experience

Required Skills & Qualifications

• Strong experience in full-stack development (React or Angular, Node.js and/or .NET, REST APIs)

• Hands-on experience with Microsoft Copilot and Azure AI Foundry

• Solid understanding of AI/ML concepts, especially NLP and Generative AI

• Experience building Text-to-SQL or natural language query systems

• Proficiency in Adaptive Cards for UI integration

• Experience with relational and NoSQL databases (SQL Server, PostgreSQL, Cosmos DB, etc.)

• Strong experience with Azure cloud-native development

• Excellent problem-solving skills and ability to work in cross-functional teams

Preferred Qualifications

• Experience with Azure OpenAI Service

• Knowledge of CI/CD pipelines and DevOps practices

• Experience building enterprise-grade AI solutions

• Familiarity with security, governance, and compliance in AI systems.