About the Role:

We are looking for a Engineer – AI with 2-3 years of experience in developing Generative AI applications, scalable data pipelines, and cloud-native AI solutions. The ideal candidate should possess hands-on expertise in Python, SQL, Databricks, Azure, AWS, and modern AI technologies to build intelligent, production-ready applications.

The role requires close collaboration with Data Engineers, AI Architects, Product Teams, and Business Stakeholders to design, develop, and deploy AI-powered solutions leveraging Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), cloud platforms, and enterprise data engineering practices.

Key Responsibilities

Generative AI Development
- Design and develop enterprise-grade Generative AI applications using Large Language Models (LLMs).
- Build and optimize Retrieval-Augmented Generation (RAG) pipelines for structured and unstructured data.
- Develop prompt engineering strategies to improve response quality and contextual accuracy.
- Implement vector search, embeddings, and intelligent document retrieval solutions.




- Build agentic AI workflows for multi-step business processes.

Data Engineering & ETL
- Develop scalable ETL pipelines for ingesting, transforming, validating, and processing enterprise data.
- Design and optimize data preprocessing workflows for structured and unstructured datasets.
- Build data ingestion pipelines using REST APIs and web services.
- Ensure data quality, validation, and effective storage across cloud platforms.
- Optimize pipeline performance and troubleshoot production issues.

Cloud & Platform Engineering
- Develop cloud-native applications using Microsoft Azure and AWS.
- Utilize Databricks for large-scale data processing and analytics.
- Work with Azure Data Factory, Cosmos DB, DynamoDB, and cloud storage services.
- Build reusable components supporting deployment across Azure and AWS environments.

API & Application Development
- Develop RESTful APIs using FastAPI.
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📌 Engineer - AI (Mumbai)
🏢 Exponentia.AI Private
📍 Mumbai