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Role Summary 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. Responsibilities 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 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 Solid familiarity with LLMs, RAG architectures, embeddings, and retrieval techniques Experience with CICD and software engineering best practices

Apply on Kit Job: kitjob.in/job/42vs0s

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