AI Data Engineer

Role SummaryWe 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.ResponsibilitiesBuild scalable ETL/ELT pipelines in AWS or Azure to support unstructured data ingestionUse services such as Azure Document Intelligence, AWS Textract, or other OCR tools to extract content at scaleDesign and manage embedding pipelines, chunking strategies, and vector database integrations (Azure AI Search, etc.)Develop retrieval and orchestration pipelines for RAG use casesImplement resilient CICD workflows and production-grade logging/error-handlingCollaborate with platform and application teams to integrate LLM-powered features into enterprise appsDeploy services using functions, containers, event-driven workflows (AWS Lambda, Azure Functions, etc)Ensure solutions meet security, compliance, and performance requirementsRequired Qualifications3+ years in data engineering or AI infrastructure rolesExpertise in AWS or Azure (not required to know both)Hands-on experience with vector stores and embedding pipelinesStrong Python development experienceExperience with OCR/document intelligence toolsStrong familiarity with LLMs, RAG architectures, embeddings, and retrieval techniquesExperience with CICD and software engineering best practices

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