01
Layout-aware OCR
Extracting tables, key-value pairs and handwriting from complex multi-page documents.
Senior / Staff
Hire senior computer vision and OCR engineers
Computer vision engineers who turn scans, PDFs and video into validated, structured data — with a human review step for the cases the model isn't sure about.
Role profile
What we look for in a Senior Computer Vision & OCR Engineer
Seniority and experience are agreed in the proposal, and you interview every engineer before they start. These are the skills that interview should test.
02
Schema-validated extraction
Mapping OCR output to strict Pydantic schemas with field-level validation and confidence scores.
03
Human review interfaces
Side-by-side views with the source region highlighted, so operators can check and correct extractions quickly.
Typical work
What a Senior Computer Vision & OCR Engineer typically works on
Examples of the scope this role is hired for. Your statement of work sets the actual deliverables and how they are accepted.
- 01Invoice and form extraction pipelines, with accuracy measured on your own documents
- 02Human review dashboards built with Next.js and PDF.js
- 03Defect detection on manufacturing lines
- 04PII redaction before documents are stored or sent to a model
Stack and tools
What this role works with day to day. Tell us your stack and we’ll say plainly which parts we can staff.
- Python
- OpenCV
- Amazon Textract
- Anthropic Claude
- PyTorch
- Next.js
Technology guides
Related service
AI development servicesAI built for the compliance review — validated outputs, humans in the loop, results measured in cycle time.
How hiring works
Four steps, agreed in writing before anyone starts
01
Tell us the role
The stack, the seniority you need, the hours you want covered, and any certifications the work requires. We reply within one business day.
02
We propose engineers
A written proposal sets out who we'd put forward, their seniority and experience, the scope, and the terms. If we can't staff the role well, we say so.
03
You interview every engineer
Nobody starts on your codebase until you've interviewed them and agreed. Use the skills on the role page as your interview checklist.
04
Working arrangements go in the SOW
Working-hours overlap is agreed for each engagement and written into the statement of work — the shared window, who shifts hours, and how handoffs work outside it.
QuantmHill provides development teams from India for Indian startups and SMEs. Role profiles describe project capabilities; availability is confirmed for your engagement. Our team works on India Standard Time. Project working hours, availability and handoff responsibilities are agreed before kickoff.
Need specific certifications? Tell us at the start and we'll confirm whether we can staff to that requirement before you sign. There are no recruiting fees.
FAQ
Questions about hiring a Senior Computer Vision & OCR Engineer
Answered the way we would on a call. If yours isn’t here, send it — we reply within one business day.
Templates break when a supplier changes their layout. LLM-based extraction reads the document's meaning, so it copes with layout changes — but it needs schema validation and spot checks, because it can be confidently wrong.
Usually. OpenCV preprocessing — deskewing, binarization and contrast correction — runs before OCR, and anything below a confidence threshold goes to human review.
Related roles
Similar and adjacent roles
Add a Senior Computer Vision & OCR Engineer to your team
Tell us the stack, the seniority you need and the hours you want covered. We reply within one business day, and you interview every engineer before they start.