The essentials

  • Experience4 Years
  • Career levelNon-Managerial
  • ShiftNight Shift
  • EducationBachelor's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Software Engineering, or a related technical field; equivalent strong practical experience may also be considered.

What you’ll be doing

We are hiring an experienced AI/OCR Engineer to design and build production-grade document intelligence and AI-assisted workflows for a complex digital platform.

The role focuses on processing scanned documents, photographs, PDFs, digital documents, and multi-page files; extracting structured information; validating results; managing confidence levels; and integrating document-processing services into secure web, mobile, and backend workflows.

This is not a chatbot-only, prompt-engineering, or research-only AI role. The position requires hands-on experience building reliable production OCR/document-processing systems.

Key Responsibilities
  • Design and maintain end-to-end document-processing pipelines.
  • Implement document ingestion, preprocessing, OCR, classification, field extraction, normalization, validation, and result storage.
  • Handle low-quality, rotated, blurred, handwritten, incomplete, and structurally inconsistent documents.
  • Build structured data extraction from semi-structured and unstructured documents.
  • Implement document classification and layout-aware extraction.
  • Design confidence scoring and validation rules for extracted information.
  • Build AI-assisted summarization, explanation, classification, and structured interpretation workflows.
  • Reduce hallucination risk through grounded outputs, structured schemas, validation, and fallback behavior.
  • Evaluate OCR, Document AI, and LLM implementations in production.

What we’re looking for

Required Skills and Experience
  • 4+ years of professional experience in Applied AI, Machine Learning, OCR, Document Intelligence, NLP, or production AI engineering.
  • Strong production experience with Python.
  • Experience building OCR and document-processing pipelines.
  • Experience extracting structured information from semi-structured and unstructured documents.
  • Experience integrating OCR, Document AI, and/or LLM services into production systems.
  • Understanding of confidence scoring, validation, precision, recall, evaluation, and error analysis.
  • Experience designing evaluation datasets and regression tests.
  • Experience with REST APIs, asynchronous processing, queues, object storage, and backend integration.
  • Understanding of data privacy and secure handling of sensitive information.
  • Experience monitoring model or pipeline accuracy, latency, failures, and cost.
  • Experience with CI/CD and production deployment.
  • Strong problem-solving, technical communication, and English communication skills.

Preferred Skills
  • Azure AI Document Intelligence, Google Document AI, AWS Textract, ABBYY, or similar OCR/document AI platforms.
  • Open-source OCR and document-processing frameworks.
  • LLM-based structured extraction and grounded summarization.
  • Layout-aware document models.
  • Human-in-the-loop workflows.
  • Document image preprocessing.
  • MLOps and model monitoring.
  • GDPR-sensitive or regulated-data systems.
  • Experience with insurance or related document-intensive domains.
Shopify Digital Solution

About the employer

Shopify Digital Solution

Information Technology and Services · London, United Kingdom

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About Us

Shopify Digital Solution is a UK-based digital solutions company specializing in e-commerce, Shopify development, web and UI/UX design, digital marketing, and related professional services. We work with skilled professionals across different marke

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