Description

You design, develop, and deploy Generative AI applications using Large Language Models (LLMs) for enterprise use cases.

This role is on-site.

Responsibilities

• Build and maintain Retrieval-Augmented Generation (RAG) pipelines for document intelligence and knowledge search.
• Develop AI-powered chatbots and virtual assistants, optimizing prompts, embeddings, and retrieval mechanisms.
• Create scalable backend services and APIs using Python to integrate LLMs with enterprise applications and external APIs.
• Deploy AI solutions on AWS, Azure, or GCP cloud platforms and implement monitoring, evaluation, and governance.
• Collaborate with Data Scientists, ML Engineers, and Cloud Engineers to deliver production-ready solutions.

Required Skills

• 5+ years of experience in AI/ML and NLP development.
• Strong proficiency in Python for backend service and API development.
• Hands-on experience with cloud platforms: AWS, Azure, or GCP.
• Deep understanding of LLMs, vector databases, and semantic search.
• Experience implementing RAG architectures for enterprise applications.
• Familiarity with Agile methodologies and database management.
• Ability to work effectively with cross-functional engineering teams.

Preferred Skills

• Experience with document intelligence and advanced knowledge search solutions.
• Background in deploying large-scale GenAI applications in production.

Key Skills

Education

Any Gradute