AI Application Engineer - Machine Learning

Job Summary: We are seeking an experienced AI Application Engineer to design, develop, deploy, and support enterprise-grade AI-powered applications. The ideal candidate will have strong expertise in modern web technologies, cloud-native application development, and DevOps practices, along with hands-on experience building Generative AI (GenAI), LLM, RAG, and agent-based solutions. This role requires a strong foundation in software engineering, secure application development, and Azure cloud services to deliver scalable and production-ready AI applications. Key Responsibilities: - Design, develop, and maintain enterprise AI-powered web applications and microservices. - Build scalable frontend applications using React, TypeScript, and JavaScript. - Develop robust backend services and APIs using Node.js and Python. - Design and deploy cloud-native applications using Microsoft Azure services. - Develop and manage RESTful APIs, ensuring secure authentication, authorization, and API governance. - Implement CI/CD pipelines and automate deployments using GitHub Enterprise, GitHub Actions, and Azure DevOps. - Build and operationalize AI solutions using LLMs, GenAI, Retrieval-Augmented Generation (RAG), and AI agents. - Integrate enterprise applications with Azure services such as App Service, Azure Functions, Container Apps, API Management, Key Vault, Managed Identity, and Azure Monitor. - Implement secure software development practices, threat modeling, and vulnerability management. - Monitor application performance using logging, observability, and incident management tools. - Troubleshoot production issues and optimize application performance, scalability, and reliability. - Collaborate with cross-functional teams to design and deliver innovative AI-powered business solutions. Required Skills : - Bachelor's degree in B.E./B.Tech, MCA, MBA (Information Systems), Computer Science, or a related field. - Strong hands-on experience with: 1. React 2. TypeScript 3. JavaScript 4. Node.js 5. Python 6. Modern web application frameworks - Experience building enterprise web applications, APIs, and microservices. - Strong expertise in Microsoft Azure services, including : 1. Azure App Service 2. Azure Functions 3. Azure Container Apps 4. API Management 5. Azure Key Vault 6. Managed Identity 7. Azure Monitor - Experience implementing DevOps practices using : 1. GitHub Enterprise 2. GitHub Actions 3. Azure DevOps 4. CI/CD pipelines - Strong understanding of application architecture and software engineering best practices. - Experience with REST API design, service-to-service authentication, authorization, and API governance. - Knowledge of secure SDLC, threat modeling, vulnerability management, and application security. - Experience implementing logging, monitoring, observability, and production support processes. Job Summary: We are seeking an experienced AI Application Engineer to design, develop, deploy, and support enterprise-grade AI-powered applications. The ideal candidate will have strong expertise in modern web technologies, cloud-native application development, and DevOps practices, along with hands-on experience building Generative AI (GenAI), LLM, RAG, and agent-based solutions. This role requires a strong foundation in software engineering, secure application development, and Azure cloud services to deliver scalable and production-ready AI applications. Key Responsibilities: - Design, develop, and maintain enterprise AI-powered web applications and microservices. - Build scalable frontend applications using React, TypeScript, and JavaScript. - Develop robust backend services and APIs using Node.js and Python. - Design and deploy cloud-native applications using Microsoft Azure services. - Develop and manage RESTful APIs, ensuring secure authentication, authorization, and API governance. - Implement CI/CD pipelines and automate deployments using GitHub Enterprise, GitHub Actions, and Azure DevOps. - Build and operationalize AI solutions using LLMs, GenAI, Retrieval-Augmented Generation (RAG), and AI agents. - Integrate enterprise applications with Azure services such as App Service, Azure Functions, Container Apps, API Management, Key Vault, Managed Identity, and Azure Monitor. - Implement secure software development practices, threat modeling, and vulnerability management. - Monitor application performance using logging, observability, and incident management tools. - Troubleshoot production issues and optimize application performance, scalability, and reliability. - Collaborate with cross-functional teams to design and deliver innovative AI-powered business solutions. Required Skills : - Bachelor's degree in B.E./B.Tech, MCA, MBA (Information Systems), Computer Science, or a related field. - Strong hands-on experience with: 1. React 2. TypeScript 3. JavaScript 4. Node.js 5. Python 6. Modern web application frameworks - Experience building enterprise w