Description

You will build and optimize Retrieval Augmented Generation (RAG) pipelines to deliver accurate, context-aware responses from enterprise data.

This role is on-site.

Responsibilities

• Design and implement AI Agents to orchestrate tasks and integrate with APIs and services.
• Develop APIs that expose AI features, ensuring scalability and reliability for enterprise applications.
• Work with vector databases for embedding and retrieval of enterprise information.
• Integrate AI services with enterprise systems using available integration platforms.
• Follow best practices in MLOps, CI/CD, and cloud deployment for AI solutions.

Required Skills

• 2+ years of AI/ML experience with hands-on work in RAG and vector databases.
• Strong proficiency in Python, LangChain, and AI Agents.
• Experience with MLOps practices and tools.
• Experience with cloud platforms, specifically AWS and Azure.
• Familiarity with MongoDB and PostgreSQL databases.
• Experience designing for API scalability and reliability.

Key Skills

Education

Any Graduate