Job Title: Generative AI Engineer (Python | RAG | Agentic AI | Azure AI)
Experience
6–15 Years (Minimum 1–2 years of hands-on experience in Generative AI)
Individual Contributor (IC)
Location-Bangalore
Employment Type-Full time
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.
Required Skills
Strong programming skills in Python.
1–2 years of hands-on experience in Generative AI.
Experience building Retrieval-Augmented Generation (RAG) applications.