Software Engineer - Document Intelligence

THE ROLE We are looking for a Software Engineer to join the Document Intelligence Team. Our vision is to become the document knowledge platform for DataSnipper — a shared, cloud-native foundation where every document and everything we extract from it becomes a durable, reusable asset that powers our agents and other products. This is a hands-on engineering role in a high-caliber team that moves fast and holds a high bar. You will build and maintain the ingestion, processing, and extraction pipelines and the platform services that expose them, contribute to architectural decisions, and deliver core parts of the document intelligence platform at DataSnipper. You will work closely with Product, Agent teams, and fellow engineers to deliver high-quality, production-ready solutions. About DataSnipper Audit and finance are still massively manual — and we’re changing that. DataSnipper is a $1B, bootstrapped unicorn with 600,000+ users across 180+ countries, already embedded in the daily workflows of top audit and accounting firms. Now, we’re taking things further with our Excel Agent — bringing AI directly into where the work actually happens. Unlike generic AI tools, we don’t sit on the sidelines. Our AI operates inside Excel, with access to real documents and audit evidence — meaning it doesn’t just generate answers, it does the work, with full traceability. We’re not just applying AI — we’re redefining how audit gets done. If you want to build something category-defining at scale, this is the place. WHAT YOU WILL DO TECHNICAL DELIVERY - Build and maintain components of the document intelligence platform that deliver best-in-class accuracy, speed, and reliability, with design direction from senior engineers - Build and maintain the platform APIs and services that expose documents and their extracted intelligence as shared, reusable capabilities for multiple products and workflows - Help build and operate the cloud document store: a secure, managed store for every document we ingest plus everything we extract, with the metadata, retrieval patterns, and traceability that downstream intelligence requires - Integrate with AI service providers to power document understanding at scale - Build AI- and ML-powered extraction capabilities - Work within the integration contracts between platform APIs and consuming teams, and flag gaps early ARCHITECTURE & QUALITY - Apply well-established design principles within an existing architecture, accounting for document-heavy use cases (large PDFs, mixed formats, high-volume batches) - Participate in code reviews and follow team best practices - Build and use quality metrics; repeatable pipelines that score extraction quality on representative production documents to identify gaps and drive measurable improvements - Implement the security and compliance requirements defined for document handling (retention, deletion, access controls, auditability, and regional…