Description

You will design, develop, and test full stack Python applications across frontend, backend, and API layers.

Responsibilities

• Design and implement GenAI applications using Retrieval-Augmented Generation (RAG) in production environments.
• Build and optimize document ingestion pipelines and document processing workflows using vector databases.
• Design and develop AI/ML models for data analytics, prediction, and forecasting.
• Deploy and maintain AI applications on Azure and Google Cloud Platform (GCP).
• Lead development tasks and coordinate efforts across internal and external teams to deliver solutions.

Required Skills

• 5+ years of experience in full stack Python development (frontend, backend, 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.
• Experience deploying AI applications to cloud platforms, including Azure and GCP.
• Solid background in data analytics, prediction, and forecasting using AI/ML models.
• Familiarity with AgenticAI and MCP technologies.
• Strong ability to lead projects independently with minimal supervision.
• Proficiency with Python, MongoDB, Azure, and GCP.

Key Skills

Education

Any Gradute