Key Responsibilities:
Design, develop, and deploy RAG pipelines combining Azure OpenAI with Azure AI Search.
Build and maintain AI Foundry Knowledge Bases integrated with Fabric semantic models and OneLake.
Implement embedding models and manage vector indexes for unstructured data retrieval.
Develop conversational interfaces or dashboards using Streamlit, Azure App Service, or Copilot for Fabric.
Collaborate with data engineers to ensure AI models consume accurate and refreshed datasets.
Tune and evaluate LLM prompts, temperature settings, and grounding strategies for enterprise contexts.
Integrate Microsoft Purview for metadata lineage, governance, and responsible AI monitoring.
Support automation of model retraining and continuous learning pipelines.

Qualifications:
Bachelors Degree in Computer Science, Artificial Intelligence,



or related field.
2+ years of experience developing AI or ML-based solutions on Azure or similar platforms.
Robust knowledge of Python, Node.js, Rapid API.
Proficient with Azure OpenAI, AI Foundry, Azure AI Search, and Cognitive Services.
Experience with Microsoft Fabric, OneLake, and Synapse Data Science Workspace.
Robust understanding of LLM orchestration, prompt engineering, and RAG architecture.

Pay: ₹30,000.00 - ₹60,000.00 per month

Experience:
Azure Foundry: 1 year (required)
Python: 2 years (required)

Location:
Mumbai, Maharashtra (Mumbai) (required)

Work Location: In person

📌 Ai Enginner Mumbai
🏢 Clowise Business Solutions
📍 Mumbai