TECHNICAL LEAD - Gen AI

GenAI Engineer Experience: 10+ Years in Software Engineering, AI/ML, Generative AI, Agentic AI, Enterprise Automation, Cloud Architecture, and Azure-based Solutions. Core Responsibilities Design, develop, and deploy enterprise-grade Generative AI and Agentic AI solutions. Build AI agents for business process automation, knowledge management, project management, and enterprise productivity. Develop and integrate AI agents using Agentic AI frameworks, multi-agent architectures, and orchestration platforms. Design and implement Model Context Protocol (MCP) servers, MCP clients, and MCP-based enterprise integrations. Develop Agent-to-Agent (A2A) communication mechanisms for collaboration between distributed AI agents. Implement Agent Discovery frameworks for dynamic identification, registration, capability mapping, and invocation of AI agents. Design secure Sandbox environments for tool execution, code execution, validation, and controlled agent operations. Develop custom tools, plugins, workflows, and agent capabilities within enterprise AI frameworks. Integrate Large Language Models (LLMs) with enterprise systems, APIs, databases, and knowledge repositories. Design Retrieval-Augmented Generation (RAG) architectures using vector databases and semantic search technologies. Build intelligent workflows involving tool calling, function calling, planning, reasoning, and autonomous execution. Deploy AI solutions on Azure cloud infrastructure and enterprise environments. Implement observability, tracing, monitoring, and evaluation frameworks for AI applications. Optimize AI agent performance, response quality, scalability, and operational efficiency. Collaborate with business stakeholders and technical teams to define AI strategy and implementation roadmaps. Technical Skills - Experience atleast 4 years Generative AI & Agentic AI Agentic AI Architecture Multi-Agent Systems MCP (Model Context Protocol) A2A (Agent-to-Agent Communication) Agent Discovery AI Sandboxing LLM Orchestration Tool Calling & Function Calling Prompt Engineering RAG Semantic Search AI Evaluation & Observability LangGraph LangChain OpenAI Azure OpenAI Cloud & DevOps - 4 years Microsoft Azure Azure Functions Azure Kubernetes Service (AKS) Azure Container Apps Azure App Services Azure DevOps CI/CD Pipelines Backend Development - 5 years Python FastAPI REST APIs Microservices Architecture Databases & Search - 5 years PostgreSQL PGVector Vector Databases Knowledge Graphs Enterprise Search Monitoring & Observability -8 years Langfuse Application Insights Azure Monitor Logging & Tracing Frameworks Shivanku Chauhan GenAI Engineer Experience: 10+ Years in Software Engineering, AI/ML, Generative AI, Agentic AI, Enterprise Automation, Cloud Architecture, and Azure-based Solutions. Core Responsibilities ? Design,? GenAI Engineer Experience: 10+ Years in Software Engineering, AI/ML, Generative AI, Agentic AI, Enterprise Automation, Cloud Architecture, and Azure-based Solutions. Core Responsibilities Design, develop, and deploy enterprise-grade Generative AI and Agentic AI solutions. Build AI agents for business process automation, knowledge management, project management, and enterprise productivity. Develop and integrate AI agents using Agentic AI frameworks, multi-agent architectures, and orchestration platforms. Design and implement Model Context Protocol (MCP) servers, MCP clients, and MCP-based enterprise integrations. Develop Agent-to-Agent (A2A) communication mechanisms for collaboration between distributed AI agents. Implement Agent Discovery frameworks for dynamic identification, registration, capability mapping, and invocation of AI agents. Design secure Sandbox environments for tool execution, code execution, validation, and controlled agent operations. Develop custom tools, plugins, workflows, and agent capabilities within enterprise AI frameworks. Integrate Large Language Models (LLMs) with enterprise systems, APIs, databases, and knowledge repositories. Design Retrieval-Augmented Generation (RAG) architectures using vector databases and semantic search technologies. Build intelligent workflows involving tool calling, function calling, planning, reasoning, and autonomous execution. Deploy AI solutions on Azure cloud infrastructure and enterprise environments. Implement observability, tracing, monitoring, and evaluation frameworks for AI applications. Optimize AI agent performance, response quality, scalability, and operational efficiency. Collaborate with business stakeholders and technical teams to define AI strategy and implementation roadmaps. Technical Skills - Experience atleast 4 years Generative AI & Agentic AI Agentic AI Architecture Multi-Agent Systems MCP (Model Context Protocol) A2A (Agent-to-Agent Communication) Agent Discovery AI Sandboxing LLM Orchestration Tool Calling & Function Calling Prompt Engineering RAG Semantic Search AI Evaluation & Observability LangGraph LangChain OpenAI Azure OpenAI Cloud & DevOps - 4 years Microsoft Azure Azure Functions Azure Kubernetes Service (AKS) Azure Container Apps Azure App Services Azure DevOps CI/CD Pipelines Backend Development - 5 years Python FastAPI REST APIs Microservices Architecture Databases & Search - 5 years PostgreSQL PGVector Vector Databases Knowledge Graphs Enterprise Search Monitoring & Observability -8 years Langfuse Application Insights Azure Monitor Logging & Tracing Frameworks Shivanku Chauhan GenAI Engineer Experience: 10+ Years in Software Engineering, AI/ML, Generative AI, Agentic AI, Enterprise Automation, Cloud Architecture, and Azure-based Solutions. Core Responsibilities ? Design,? PEPPGS01-100-1 GenAI Engineer Experience: 10+ Years in Software Engineering, AI/ML, Generative AI, Agentic AI, Enterprise Automation, Cloud Architecture, and Azure-based Solutions. Core Responsibilities Design, develop, and deploy enterprise-grade Generative AI and Agentic AI solutions. Build AI agents for busines... ... GenAI Engineer Experience: 10+ Years in Software Engineering, AI/ML, Generative AI, Agentic AI, Enterprise Automation, Cloud Architecture, and Azure-b... Gen AI