[Hiring] Document AI Engineer @Marlabs

Role Description

As a Document AI Engineer, you will develop intelligent document processing solutions that transform unstructured content into structured, business-ready information. You will leverage OCR, computer vision, machine learning, NLP, and LLM technologies to automate classification, extraction, validation, and quality scoring processes.

Day-to-Day

• Build document classification and extraction models using OCR and AI technologies.
• Develop document processing pipelines for ingestion, validation, enrichment, and workflow routing.
• Implement confidence scoring, completeness analysis, and document quality validation.
• Configure source-evidence linking, citation tracing, and lineage capabilities.
• Optimize extraction accuracy and model performance using training and validation datasets.
• Collaborate with AI, integration, and business teams to enhance document automation workflows.

Qualifications

• 5+ years of experience with OCR, Document AI, Intelligent Document Processing, or NLP solutions.
• Experience with Azure Document Intelligence, ABBYY, AWS Textract, Google Document AI, or similar platforms.
• Strong Python programming experience.
• Experience with LLMs, embeddings, and AI-assisted document processing.
• Knowledge of machine learning pipelines, model validation, and performance tuning.