Generative AI Engineer - Python/RAG/Agentic AI

Job Summary :

We are seeking a skilled Generative AI Engineer with strong expertise in Python and hands-on experience in building enterprise-grade AI solutions using Large Language Models (LLMs). The ideal candidate should have practical experience in Retrieval-Augmented Generation (RAG), Vector Databases, Agentic AI, and Microsoft's AI ecosystem, including Copilot Studio and Azure AI Foundry. Experience with LangGraph for building multi-agent workflows is highly preferred.

Key Responsibilities :

- Design, develop, and deploy Generative AI applications using Python and modern LLM frameworks.

- Build and optimize Retrieval-Augmented Generation (RAG) pipelines for enterprise use cases.

- Develop AI agents and multi-agent workflows using Agentic AI principles.

- Integrate Vector Databases for semantic search, document retrieval, and knowledge management.

- Develop intelligent copilots and conversational AI solutions using Microsoft Copilot Studio.

- Build AI solutions leveraging Azure AI Foundry and Azure AI services.

- Implement prompt engineering, context management, and LLM orchestration techniques.

- Work with LangGraph to develop scalable agent workflows and autonomous AI systems.

- Collaborate with cross-functional teams to integrate AI capabilities into business applications.

- Evaluate, monitor, and improve AI model performance, reliability, and scalability.