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Role Summary

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We are hiring an AI Data Engineer specializing in AWS or Azure to build vector stores, embedding pipelines, RAG architectures, and document-processing systems that power enterprise AI applications.

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Responsibilities

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- Build scalable ETL/ELT pipelines in AWS or Azure to support unstructured data ingestion
- Use services such as Azure Document Intelligence , AWS Textract , or other OCR tools to extract content at scale
- Design and manage embedding pipelines, chunking strategies, and vector database integrations (Azure AI Search, etc.)
- Develop retrieval and orchestration pipelines for RAG use cases
- Implement resilient CICD workflows and production-grade logging/error-handling
- Collaborate with platform and application teams to integrate LLM-powered features into enterprise apps




- Deploy services using functions, containers, event-driven workflows (AWS Lambda, Azure Functions, etc)
- Ensure solutions meet security, compliance, and performance requirements

Required Qualifications n

- 3+ years in data engineering or AI infrastructure roles
- Expertise in AWS or Azure (not required to know both)
- Hands-on experience with vector stores and embedding pipelines
- Strong Python development experience
- Experience with OCR/document intelligence tools
- Robust familiarity with LLMs, RAG architectures, embeddings, and retrieval techniques
- Experience with CICD and software engineering best practices

Apply on Kit Job: kitjob.in/job/435tsq

📌 AI Data Engineer (Nellore)
🏢 Insight Global
📍 Nellore