Description

You will design, develop, and deploy full-stack Python applications and production-grade GenAI systems on Azure and GCP.

Responsibilities

• Lead the design, testing, and deployment of full-stack Python applications, including frontend, backend, and API components.
• Implement GenAI applications using Retrieval-Augmented Generation (RAG) and integrate AgenticAI and MCP technologies.
• Build and optimize document ingestion pipelines and processing workflows using vector databases like MongoDB Atlas.
• Design and develop AI/ML models for data analytics, prediction, and forecasting.
• Deploy and maintain AI applications on Azure and Google Cloud Platform (GCP).

Required Skills

• 5+ years of experience in software development.
• Extensive experience in full-stack Python development (Frontend, Backend, and API).
• Proven expertise in designing and deploying GenAI applications using RAG architecture in production.
• Hands-on experience building document ingestion pipelines with vector databases, specifically MongoDB Atlas.
• Strong background in AI/ML model development for data analytics, prediction, and forecasting.
• Experience deploying AI applications to Azure and Google Cloud Platform (GCP).
• Familiarity with AgenticAI and MCP technologies.

Key Skills

Education

Any Gradute