AEM Adaptive Form AI Architect

• Develop and support AEM Adaptive Forms and AEM Forms as a Cloud Service solutions.
• Build AI-enabled form generation and automation using GPT, Copilot, Gemini, and Azure OpenAI.
• Develop MCP (Model Context Protocol) servers using Node.js.
• Create dynamic Adaptive Forms from JSON Schemas, API responses, Figma designs, images, and documents.
• Implement RAG (Retrieval-Augmented Generation) solutions for intelligent form generation.
• Develop and integrate REST APIs with enterprise applications.
• Build custom Adaptive Form components, validations, and business rules.
• Utilize GuideBridge API for form scripting, data handling, and runtime customization.
• Integrate Forms Data Model (FDM) with external systems and services.
• Design and develop AEM backend services using Java, Sling, OSGi, and Servlets.
• Manage and optimize AEM JCR repository structures and content models.
• Develop AI agents capable of interacting with AEM repositories and external platforms.
• Ensure application performance, security, scalability, and maintainability.

AEM Adaptive Forms

• AEM Adaptive Forms
• AEM Forms as a Cloud Service
• Adaptive Form Core Components
• GuideBridge API
• Forms Data Model (FDM)
• JSON Schema
• XDP Forms
• Custom Form Rules and Validations
• Adaptive Form Themes
• Client Libraries (ClientLibs)

AEM Backend Development

• Java / J2EE
• Sling Models
• OSGi Services
• Servlets
• REST APIs
• JCR Repository
• AEM Workflows
• Dispatcher
• AEM Sites

AI LLM Technologies

• GitHub Copilot
• OpenAI GPT
• Google Gemini
• Azure OpenAI
• Prompt Engineering
• Agentic AI
• Function Calling
• Tool Calling
• AI Workflow Automation

MCP RAG

• MCP Server Development using Node.js
• MCP Client Integration
• RAG Architecture
• Vector Databases
• Semantic Search
• Embeddings
• Knowledge Retrieval
• AI Agent Frameworks

Programming Integration

• Node.js
• JavaScript / TypeScript
• REST API Development
• Enterprise System Integrations
• OAuth and API Security