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 energetic 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,

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📌 TECHNICAL LEAD - Gen AI (Karnataka)
🏢 Happiest Minds Technologies
📍 Karnataka