Salary
💰 $150,000 - $300,000 per year
Tech Stack
AWSCloudJavaJavaScriptNode.jsPython
About the role
- Lead the strategy and execution of document-to-data transformation initiatives
- Architect and lead development of AI-powered document processing pipelines
- Evaluate and integrate IDP platforms (e.g., Klippa, Rossum, Docsumo, Nanonets)
- Build scalable APIs and services for document ingestion, classification, and structured data extraction
- Stay on the cutting edge of AI advancements and assess applicability to AmeriSave’s workflows
- Collaborate with product, data science, and operations to optimize downstream analytics and decisioning
- Drive innovation in post-OCR structuring (tables, formulas, handwriting recognition)
- Ensure systems meet regulatory, privacy, and security standards
- Mentor engineers and foster a culture of experimentation, ownership, and excellence
- Continuously evaluate emerging technologies and improve document intelligence capabilities
Requirements
- 8+ years in software engineering
- 3+ years in a leadership role
- Deep expertise in OCR (Tesseract, Google Vision, AWS Textract)
- Deep expertise in NLP (spaCy, HuggingFace)
- Deep expertise in LLMs (Gemini, OpenAI, Claude)
- Proven experience integrating IDP platforms into enterprise workflows
- Strong understanding of document formats: PDFs, scanned images, structured forms
- Experience with Python, Java, or Node.js
- Experience with cloud-native architecture
- Familiarity with RAG pipelines, vector databases, and semantic search
- Excellent communication and stakeholder management skills
- Passion for evaluating new technologies and driving continuous improvement
- Bonus: Experience with BytePro LOS and Asterisk telephony systems
- Bonus: Knowledge of mortgage compliance frameworks such as HMDA, TRID, RESPA, and ECOA
- Bonus: Experience in fintech, lending, or mortgage tech
- Bonus: Contributions to open-source document AI projects
- Bonus: Familiarity with compliance workflows (e.g., KYC, income verification)