Offer summary

Qualifications:

5+ years of experience in software engineering, with at least 2 years focused on document AI, OCR, and intelligent document processing., Strong experience with AI/ML libraries and frameworks, and familiarity with commercial OCR and AI tools., Proficiency in Python or other backend languages, and experience with data extraction from scanned or digital PDFs., Solid knowledge of REST APIs, microservices, and cloud platforms (Azure)..

Key responsibilities:

Evaluate, design, and implement a document automation pipeline using OCR, AI/ML, and NLP techniques.

Develop models to extract structured data from unstructured documents like paystubs and bank statements.

Integrate the solution into existing systems and ensure compliance with data security standards.

Collaborate with cross-functional teams to enhance the document processing workflow.

Job description

Description

AmeriSave Mortgage has set the standard in online mortgage lending with over $130 billion in funded loan volume. As one of the top-rated, largest privately-owned online mortgage lenders in the nation, our mission is to deliver beneficial, responsible home lending solutions with unwavering integrity, dedication and excellence. We leverage cutting-edge technology and data-driven strategies to provide exceptional service to our customers.

Our employees are the driving force behind our success. We believe in the power of a dynamic and talented workforce and creating an environment where your contributions are not just recognized, they’re celebrated. Your success is our success, and we are seeking skilled professionals who are ready to bring their A-game, exceed benchmarks and enhance the overall excellence of AmeriSave, while also growing and advancing their careers.

At AmeriSave, we're one team with one shared dream - to be the best. Let’s redefine excellence together!

What We’re Looking For:

We are seeking a seasoned AI & Document Automation Engineer with deep expertise in OCR, AI/ML, and document processing technologies. This role will be responsible for designing, building, and deploying an end-to-end system that can automatically ingest customer documents, extract all relevant data with high precision, and integrate seamlessly with our internal systems.

This is a remote opportunity to work from home.

What You’ll Do:

Evaluate, design, and implement a document automation pipeline using OCR, AI/ML, and NLP techniques.
Develop custom or pre-built models to extract structured data from unstructured documents like paystubs, W-2s, bank statements, and insurance documents.
Ensure extremely high accuracy (aiming for 100%) in data extraction, validation, and reconciliation.
Integrate the solution into our existing systems (Loan Origination System) and workflows.
Work with compliance and data security teams to ensure handling of sensitive customer information meets regulatory standards.
Build reusable components, APIs, and services to scale the solution across document types.
Research and prototype new tools and frameworks as needed, including leveraging platforms like Google Document AI, Microsoft Form Recognizer, and open-source alternatives.
Collaborate with cross-functional teams including IT, operations, underwriting.

What You’ll Need:

5+ years of experience in software engineering, with at least 2 years focused on document AI, OCR, and intelligent document processing and data extraction.
Strong experience with AI/ML libraries and frameworks. Familiarity with commercial OCR and AI tools.
Proficiency in Python or other backend languages.
Experience with data extraction from scanned or digital PDFs, including table extraction and field normalization.
Experience using automation to detect fraudulent documents.
Understanding of regular expressions and rule-based systems for data parsing.
Solid knowledge of REST APIs, microservices, and cloud platforms (Azure).
Experience handling financial or sensitive documents securely and in compliance with industry standards.

Preferred Qualifications:

Experience in the mortgage or financial services industry.
Familiarity with mortgage-specific document formats and data points.
Experience with human-in-the-loop (HITL) systems to improve model accuracy over time.

**Please note that the compensation information that follows is a good faith estimate for this position only and is provided pursuant to the Colorado Equal Pay for Equal Work Act and Equal Pay Transparency Rules. It is estimated based on what a successful Colorado applicant might be paid. It assumes that the successful candidate will be in Colorado or perform the position from Colorado. Similar positions located outside of Colorado will not necessarily receive the same compensation. **

Compensation:

The annual salary for this position generally ranges between $100,000 – $140,000.

Benefits:

· 401(k)

· Dental insurance

· Disability insurance

· Employee discounts

· Health insurance

· Life insurance

· Paid time off

· 12 paid holidays per year

· Paid training

· Referral program

· Vision insurance

Supplemental pay types:

· Referral bonuses

AmeriSave is an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

California Consumer Privacy Act Disclosure Acknowledgment

Employment Applicants, New Hires, and Employees Residing in California

AmeriSave Mortgage Corporation’s Privacy Policy Statement (“Policy”) can be reviewed here: www.amerisave.com/privacy-policy

AmeriSave Mortgage Corporation’s California Consumer Privacy Act (“CCPA”) Recruitment Disclosure can be reviewed here: https://www.amerisave.com/ccpa-recruitment-disclosure/

When AmeriSave’s Human Resources Department makes future requests for personal information, the same Policy is applicable. By applying, you understand this acknowledgment covers current and future personal information requests. You also acknowledge the business purpose of the personal information collected and that future requests may occur while applying for a position at AmeriSave and/or during employment, if applicable.

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