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.
- Strong knowledge of Python, Node.js, Fast 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