Job Summary

We are looking for a skilled and motivated Cloud Data & Generative AI Engineer to design, develop, deploy, and optimize cloud-based data and AI solutions. The ideal candidate should have hands-on experience with Microsoft Azure, Databricks, Python, SQL, Data Engineering, LLMs, Generative AI, RAG, and AI application development.

The role involves working across cloud infrastructure, data pipelines, analytics, machine learning, Generative AI applications, and up-to-date AI architectures.
Key Responsibilities

Design and implement scalable data and cloud solutions using Microsoft Azure*.

Develop and manage Azure services including Azure Storage, Azure SQL, Cosmos DB, Virtual Machines, App Services, Azure Functions, API Management, Logic Apps, Event Hub, Service Bus, and Azure Monitor*.

Build and optimize data engineering pipelines using Azure Databricks, Apache Spark, PySpark, SQL, Delta Lake, and Azure Data Factory*.

* Develop ETL/ELT pipelines and implement data ingestion, transformation, validation, and quality processes.





Work with ADLS, Azure Synapse Analytics, Databricks, and Power BI* for end-to-end data solutions.

Implement CI/CD and infrastructure automation using Git, GitHub, GitHub Actions, Docker, Terraform, and Azure DevOps*.

Develop Python-based applications and APIs using frameworks such as FastAPI*.

Work with Machine Learning, Large Language Models (LLMs), NLP, Transformers, and pre-trained models*.

* Develop and deploy Generative AI applications, chatbots, and conversational AI solutions using Azure AI services.

Design and implement Prompt Engineering, Azure AI Foundry, Azure AI Search, RAG, vector search, embeddings, and agentic AI solutions*.

Build AI agents using tool/function calling, Semantic Kernel, LangChain, Azure AI Agent Service, and MCP*.

* Develop Retrieval-Augmented Generation (RAG) pipelines with retrieval, grounding, reranking, query rewriting, and e

📌 Cloud Data Pune City
🏢 Henry Harvin India
📍 Pune