Key Responsibilities

• Design, develop, and deploy AI-powered applications across the full stack
• Build dynamic, GenAI-enabled user interfaces using React and Angular
• Integrate and orchestrate LLMs (e.g. GPT-based models) and GenAI frameworks into production workflows
• Develop and deploy solutions using Azure services including Storage, Azure OpenAI, Service Bus, and Azure Functions
• Implement Responsible AI practices covering explainability, bias mitigation, and governance
• Design secure, well-architected RESTful microservices and APIs
• Automate delivery pipelines using Azure DevOps and CI/CD practices
• Collaborate with cross-functional teams in an agile delivery model

Requirements

• 5+ years of full stack AI engineering experience, including design, development, and deployment of AI-powered applications
• Strong proficiency in Python for AI/ML model development, orchestration, and integration
• Advanced React skills for building GenAI-enabled user interfaces
• Extensive experience with Azure cloud services (Storage, Azure OpenAI, Azure DevOps, Service Bus, Azure Functions)
• Demonstrated knowledge of Responsible AI practices (explainability, bias mitigation, governance, ethical AI)
• Hands-on experience with LLMs, GenAI frameworks, or Copilot-style AI-augmented development tools
• Familiarity with cloud-native development and CI/CD automation
• Strong background in modern application architecture, API design, and secure AI service integration
• Familiarity with agile methodologies and version control (Git/Azure DevOps)
• Knowledge of Angular, React, .NET, Azure full stack, RESTful microservices, and Pega

Skills Required