Description

Generative AI and enterprise agent-based solutions| focusing on the design| development| and deployment of scalable AI applications. Designing and developing AI Agents and enterprise automation workflows to address business use cases. Building and integrating MCP (Model Context Protocol) servers| tools| and connectors to enable secure access to enterprise applications| APIs| databases| and external systems. Developing and maintaining LLM-powered solutions| including prompt engineering| agent orchestration| tool calling| and Retrieval-Augmented Generation (RAG) implementations. Creating and supporting Python-based microservices and APIs that integrate AI capabilities with enterprise platforms. Deploying| managing| and troubleshooting applications using Docker and Kubernetes (AKS| EKS| and GKE) in cloud-native environments. Working across Azure| AWS| and GCP to build secure| scalable| and highly available solutions

Key Skills

Education

Bachelor's degree