IDP Developer

SUMMARY:
IDP Developer 🧠⚙️
Python Engineering | OCR Pipelines | Intelligent Automation
Are you a Python expert with a passion for solving intricate document processing challenges? A leading automation-driven organisation is searching for an IDP Developer who can build sophisticated extraction solutions and high‑volume document processing pipelines from the ground up

POSITION INFO:
About the Role
As the IDP Developer, you’ll be the technical powerhouse behind advanced document automation — crafting custom OCR logic, designing robust extraction templates, and integrating cloud AI technologies to deliver production-grade automation at scale. This role requires deep technical independence and a strong ability to engineer high-performing solutions across large, complex document sets.


What You’ll Be Doing

• Developing custom Python applications for extraction, preprocessing, and automation using OpenCV, Pytesseract, pdf2image, pdfplumber, and more.
• Designing extraction workflows on IDP platforms (UiPath, ABBYY, Tungsten, Automation Anywhere).
• Training and tuning machine learning models for document classification and entity extraction.
• Building API-driven architectures using Flask, FastAPI, or Django.
• Integrating document workflows with ERPs, CRMs, databases, and cloud storage.
• Implementing high-volume batch pipelines with parallel processing, error handling, and retries.
• Applying advanced image-processing algorithms and NLP techniques for unstructured content.
• Deploying containerised solutions via Docker and CI/CD pipelines.

• Minimum 3 years professional Python development experience.
• Strong exposure to OCR technologies and custom IDP workflows.
• Hands-on experience with at least one major IDP platform (UiPath / ABBYY / Tungsten / IQ Bot).
• Proven ability to build production-ready processing systems handling thousands of documents.
• Experience with cloud document AI (Azure, AWS, Google).
• Knowledge of SQL/NoSQL, message queues, and API-driven integration architecture.

• Python & Backend Engineering
• Cloud, DevOps & Platform Teams
• Automation, RPA & Document AI
• Data Engineering & Advanced Analytics