Job Summary

We are looking for an AI Solutions Engineer with solid hands-on experience in Microsoft Azure, Generative AI, LLMs, and Python. The candidate will be responsible for designing, developing, and deploying scalable AI-powered applications using Azure OpenAI, Azure AI Foundry, RAG, AI Agents, and Azure AI Search.

Key Responsibilities
- Design and develop AI-powered applications using Azure AI Foundry and Azure OpenAI Service.
- Build RAG (Retrieval-Augmented Generation) solutions using embeddings, vector search, semantic search, and Azure AI Search.
- Develop AI Agents and intelligent workflows using Prompt Flow, Function Calling, and Tool Calling.
- Develop REST APIs using Python with FastAPI or Flask.
- Work with GPT-4.x / GPT-4o and other LLM technologies.




- Implement document indexing and enterprise knowledge retrieval solutions.
- Deploy containerized AI applications using Docker, Kubernetes, and AKS.
- Implement CI/CD pipelines using Azure DevOps, GitHub Actions, and YAML Pipelines.
- Manage infrastructure using Terraform, Bicep, or ARM Templates.
- Implement security using RBAC, Microsoft Entra ID, OAuth 2.0, Managed Identity, and Azure Key Vault.
- Monitor applications using Azure Monitor, Log Analytics, and Application Insights.
- Develop secure and scalable cloud-native AI solutions following Responsible AI and security best practices.

📌 Azure Cloud platform Engineer (Mumbai)
🏢 Talent Cafe Solutions
📍 Mumbai