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
• Strong familiarity with LLMs, RAG architectures, embeddings, and retrieval techniques
• Experience with CICD and software engineering best practices