Unstructured Data Engineer

A company is looking for an Unstructured Data Engineer to lead the design and implementation of unstructured data pipelines for AI initiatives.

Key Responsibilities

Design and manage end-to-end RAG pipelines for enterprise AI applications

Lead the preprocessing of unstructured data, including classification, cleansing, and metadata enrichment

Develop and optimize document chunking, embedding, and vectorization strategies

Required Qualifications

Bachelor's degree in Computer Science, Data Engineering, AI / ML, or related field and 8+ years of relevant experience

Hands-on experience designing and implementing RAG architectures in production environments

Experience working with unstructured data (e.g., PDFs, documents, images)

Strong proficiency in Python and experience with NLP / LLM frameworks

Experience building scalable data pipelines in cloud environments (AWS, Azure, or GCP)