Senior Software Engineer – Evidence Agents (Alwin by DataSnipper)

About DataSnipper Audit and finance are still massively manual and we are 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 are taking things further with our Excel Agent, bringing AI directly into where the work actually happens. Unlike generic AI tools, we do not sit on the sidelines. Our AI operates inside Excel, with access to real documents and audit evidence, meaning it does not just generate answers, it does the work, with full traceability. We are not just applying AI, we are redefining how audit gets done. If you want to build something category-defining at scale, this is the place. The Role We are looking for a Senior Software Engineer in our New York office to join the Evidence Request Management team behind Alwin , our Agentic Automation Platform for audit and finance. Alwin agents run multi-step audit procedures over client evidence and return finished workpapers with every number traced back to source. Humans plan, review and sign off. Every audit starts with evidence, and getting it from the client is one of the slowest, most manual parts of the job. We are building agentic PBC ("prepared by client"): agents that draft requests from the audit plan, chase clients for what is missing, check what arrives against what was asked, and hand confirmed evidence straight to the rest of Alwin. These agents run for days or weeks, react to events from people outside the firm, and must know when to act alone and when to ask a human. This is a hands-on role in a team that moves fast and holds a high bar. Your work goes in front of hundreds of thousands of audit and finance professionals at the world's largest firms, and their clients. What You Will Do Request Agents Build agents that run the evidence request lifecycle: draft requests from the audit plan, assign, follow up, receive, review and close Design long-running, event-driven agent behaviour that reacts to client uploads, replies and deadlines over days or weeks Build agents that validate received evidence against the request, flag missing samples or wrong documents, and decide when to escalate to a human Work with the Agent Runtime and Document Intelligence teams on the tools, extraction and evaluation these agents depend on Workflow & Platform Model complex workflow state reliably across firm and client users: partial deliveries, re-requests, rollovers between engagement periods Build the firm- and client-facing experience in React , including notifications, reminders and permissions for external users Connect requests to the rest of Alwin, so confirmed evidence flows straight into tasks, the workbench and downstream agent runs Implement security, access-control and audit-trail requirements expected by regulated customers and their clients, aligned with OWASP GenAI Collaboration & Impact Own features end-to-end in our Python stack ( FastAPI , Pydantic , MongoDB ) on Azure Instrument agents in production and use traces ( Grafana , OpenTelemetry , MLflow ) to drive reliability and accuracy Raise the engineering bar through code reviews, mentorship and well-documented technical decisions Break down epics and manage ambiguity with product, design and audit domain experts What You Will Bring Must-Have 6+ years in software engineering, with strong, production-grade Python Hands-on experience building and operating agentic systems in production : control loops, tool calling, retries and fallbacks, human-in-the-loop, not only prompt-and-parse pipelines Experience building workflow-heavy products : multi-step state, notifications, permissions, ideally with users outside your own organisation Solid experience building data-driven web APIs on a major cloud platform Strong fundamentals in software architecture , system design and data modelling A track record of owning product features end-to-end, including frontend work in React or a similar framework Experience with testing strategies (unit, integration, E2E) and a quality-first mindset Proficient with AI-assisted Engineering (we use Claude Code) Excellent communication; you can work directly with auditors and product partners to define what "correct" means Nice-to-Have Durable workflow engines (e.g. Temporal ) or long-running, event-driven background jobs Document processing : OCR, classification, structured extraction and their metrics Experience with agent evaluation : datasets, offline and online experiments, failure classification Experience with case-management, ticketing or client-portal products Email, file-sharing or ERP integrations Domain experience in audit (PBC, engagement operations), accounting or fintech What We Expect Ownership : You own work end-to-end, anticipate issues, and ensure high-quality delivery without close supervision. We expect you to influence the technical direction of the team. Growth Mindset : You encourage open feedback exchange and provide clear, balanced feedback that helps others grow Collaboration : You build strong cross-functional relationships and influence peers through expertise, data, and empathy Adaptability : You navigate ambiguity calmly, model positive behavior, and help peers adjust through clear communication Judgment : You exercise sound judgment in ambiguous situations, balance speed and accuracy, and adjust priorities proactively What we offer Excellent salary + stock participation plan Flexible paid time off Comprehensive medical and dental coverage 401K match Paid parental leave Company-sponsored lunch Hybrid mode of work (at least 3 days onsite in our New York City office) Being part of one of the fastest-growing scale-ups in the Netherlands Make an impact by disrupting the finance industry with us A flexible and growing organization with lots of opportunities to learn and develop International working environment, with a team of friendly and driven colleagues Access to OpenUp and Talkspace, the mental health and wellness platform Multiple social activities for team building 🤩