1 месяц назад
Senior Data & Document Ingestion Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Data & Document Ingestion Engineer (AI): Building scalable pipelines to process high-volume unstructured insurance content with an accent on OCR, document parsing, text normalization, semantic chunking, and metadata extraction. Focus on preparing retrieval-ready data for RAG systems, designing enterprise connectors, and ensuring secure, reliable, and observable processing workflows.
Location: Remote for candidates based in Poland, Czechia, Bosnia and Herzegovina, Croatia, Romania, or France; potential future hybrid work in Prague
Company
is a boutique consultancy providing IT professional services and engineering talent solutions.
What you will do
- Design and build scalable document ingestion pipelines for PDFs, scans, emails, Word, Excel, and PowerPoint files.
- Integrate and optimize OCR and document extraction technologies for accurate text and layout extraction.
- Develop text cleaning, normalization, semantic chunking, metadata tagging, and validation workflows.
- Build enterprise connectors for SharePoint and email systems.
- Design data schemas and retrieval mechanisms for downstream AI and RAG use cases.
- Implement logging, testing, monitoring, and operational controls to meet security, reliability, and latency requirements.
Requirements
- 5–10 years of professional data engineering or backend/data-platform experience.
- Strong hands-on experience with Python and SQL.
- Experience building data ingestion and document-processing pipelines for unstructured content.
- Experience with OCR or document extraction tools, such as AWS Textract, and public cloud data-processing platforms.
- Experience with AWS services including S3, Step Functions, and CloudWatch, or comparable cloud services.
- Strong development practices with Git, CI/CD, automated testing, and fluent English.
Nice to have
- Experience with Azure, AWS, or Databricks in enterprise data environments.
- Experience with vector databases, embeddings, or RAG architectures.
- Experience designing connectors for SharePoint, email, or other enterprise content systems.
- Background in insurance, financial services, or regulated-data environments.
Culture & Benefits
- Contractor assignment expected from October 2026 through July 2027, with potential extension.
- Full-time commitment.
- Remote work across the listed European locations, with possible future hybrid work in Prague.
- Work on AI-driven transformation, automation, advanced analytics, and financial crime prevention for financial institutions.
Hiring process
- Initial qualification.
- Technical interview followed by a client interview.
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