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