Description

You will design and build scalable AI applications using Retrieval-Augmented Generation (RAG) and Model Context Protocol (MCP).

This role is on-site.

Responsibilities

• Develop AI solutions leveraging RAG and MCP technologies to enhance system capabilities.
• Build scalable microservices and implement REST APIs for robust system integrations.
• Work with Large Language Models (LLMs), vector databases, and prompt engineering to optimize performance.
• Design intelligent document processing and data extraction pipelines using advanced AI techniques.

Required Skills

• 4-7 years of experience in AI engineering or related software development roles.
• Strong proficiency in Python for backend development and AI model integration.
• Hands-on experience with Retrieval-Augmented Generation (RAG) architectures.
• Practical knowledge of Model Context Protocol (MCP) and system integrations.
• Experience building and maintaining REST APIs and microservices.
• Familiarity with vector databases and LLM orchestration.
• Understanding of prompt engineering and intelligent document processing.

Preferred Skills

• Experience with large-scale system integrations and distributed architectures.

Key Skills

Education

Any Graduate