Software Engineer - Document Intelligence

Stack

Responsibilities

• ▹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, with the metadata, retrieval patterns and traceability 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
• ▹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 quality metrics and repeatable pipelines that score extraction quality on representative production documents
• ▹Implement the security and compliance requirements for document handling (retention, deletion, access controls, auditability, regional requirements)
• ▹Break down your own work into deliverable increments and surface cross-team dependencies early
• ▹Work with product partners to clarify requirements and simplify technical approaches
• ▹Foster a culture of documentation and knowledge sharing
• ▹Integrate AI tools into workflows, critically evaluate AI outputs and contribute to team-level AI adoption

Requirements

• ▹4–6 years in software engineering, with strong proficiency in C# and/or Python and its ecosystem and tooling
• ▹Experience contributing to backend services in production on any cloud platform (they use Azure)
• ▹Experience working on distributed or data-intensive systems
• ▹Proficient with AI-assisted engineering (they use Claude Code)
• ▹Experience with testing strategies (unit, integration, E2E) and a quality-first mindset
• ▹Excellent communication and collaboration skills
• ▹Comfortable working across the stack: either full-stack experience, or strong backend with genuine willingness to contribute to frontend work

Nice to have

• ▹Experience with document processing, analysis or storage technologies and pipelines
• ▹Experience building platform or shared-service capabilities consumed by multiple internal teams and external partners
• ▹Experience with Azure services (AI Foundry, Container Apps, Service Bus, Blob storage, Content Understanding)
• ▹Experience with LLM-based document understanding and evaluation

Soft skills

What we offer

• ▹Be part of one of the fastest-growing, profitable unicorn scale-ups in the Netherlands
• ▹Equity (Stock Appreciation Rights)
• ▹Competitive salary package
• ▹Pension plan with a 6% contribution on top of base salary
• ▹28 vacation days per year (full-time)
• ▹Hybrid work model with at least 3 days onsite in the Amsterdam office
• ▹Daily freshly prepared lunches by an in-house chef
• ▹Parking and NS card for commuting
• ▹Continuous learning and development initiatives
• ▹Vibrant international team spread across five global offices
• ▹Company-wide events like DataSnipper GO
• ▹Access to OpenUp, a mental health and wellness platform
• ▹Friday drinks and social activities

About the company

DataSnipper is a bootstrapped, $1B company with 600,000+ users across 180+ countries. It automates audit and finance work with an Excel Agent that runs AI directly inside Excel.