Description :
Director of Engineering - AI Document Intelligence & Automation
Who We Are :
Cync transforms unstructured enterprise documents into structured intelligence with extremely high accuracy powering real-world financial workflows at scale. Banks, credit unions, and financial institutions rely on Cync to extract critical data from PDFs, spreadsheets, financial statements, rent rolls, invoices, and compliance documents enabling AI-driven decisioning, underwriting, servicing, and compliance automation
Cync is an AI-based document processing solution that employs the latest advances in vision models and LLMs to offer a robust and reliable approach to document processing. It intelligently understands the layout of a document and uses specialized processing pipelines for every content type, from multicolumn layouts and tables to images and graphs.
Document processing a core bottleneck for enterprises and Cync's product offers a promising new solution to the problem. Businesses across lending, insurance, and healthcare use Cync to significantly reduce the hours spent on routine manual tasks like data entry, and are able to do so with securely and accurately.
Most enterprise data 80%+ remains locked in PDFs and scanned images. Traditional OCR and generic ML tools break down on complex layouts, multi-column text, nested tables, images, charts, and handwritten fields.
Cync solves this by combining :
We are now productizing this internal platform into a scalable, standalone solution that supports AI ingestion for all lending + deposit processes.
To get there, were hiring a Director of Engineering who will scale the entire technical organization architecture, people, practices, delivery, and AI innovation.
What Youll Lead :
This is a hands-on, high-impact leadership role
Engineering & Technical Leadership :
1. LOS AI ingestion, Servicing workflow automation, Vision AI, Integrations, Cloud Infra
1. Financial statements + tax returns
2. Rent rolls + leases
3. Appraisals + construction docs
4. Borrowing base collateral files
5. KYC / identity docs for deposits
Platform & Productization :
1. Document Layout ? Sub-section segmentation
2. Contextual parsing based on content type
3. Automatic table + image ? data conversion
4. Natural language-based field extraction
5. Retrieval pipelines powered by document metadata & embeddings
Execution & Scale :
Cross-Functional Leadership :
What You Bring :
1. AI / ML or data platforms
2. Workflow automation or enterprise SaaS
3. High-availability, secure production environments
Success in This Role Means :
(ref : hirist.tech)
Director Of Engineering • Hyderabad