Happiest Minds Technologies - Technical Lead - Generative 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 yearsGenerative 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