Senior Software Engineer – Evidence Agents (Alwin by DataSnipper)

DataSnipper

New York, New York, United StatesFull-timePosted Oct 19, 2026

About the role

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 🤩

Responsibilities

  • Build agents that manage evidence requests from drafting through follow-up, review, and closure
  • Design long-running, event-driven agent behavior that responds to uploads, replies, and deadlines
  • Validate received evidence, identify missing or incorrect documents, and escalate issues to humans
  • Build workflow state and firm- and client-facing experiences, including notifications and permissions
  • Connect confirmed evidence to downstream Alwin tasks and agent workflows
  • Implement security, access controls, and audit trails for regulated customers
  • Instrument production agents and use operational traces to improve reliability and accuracy
  • Own features end-to-end and contribute to technical direction, reviews, mentorship, and planning

Qualifications

  • 6+ years of software engineering experience with strong production-grade Python
  • Production experience building agentic systems with control loops, tool calling, retries, fallbacks, and human-in-the-loop workflows
  • Experience building workflow-heavy products with multi-step state, notifications, and permissions
  • Experience building data-driven web APIs on a major cloud platform
  • Strong software architecture, system design, and data modeling fundamentals
  • Track record of owning product features end-to-end, including frontend work in React or a similar framework
  • Experience with unit, integration, and end-to-end testing
  • Proficiency with AI-assisted engineering tools

Benefits

  • Stock participation plan
  • Flexible paid time off
  • Comprehensive medical and dental coverage
  • 401(k) match
  • Paid parental leave
  • Company-sponsored lunch
  • Hybrid work with at least three days onsite in the New York City office
  • Learning and development opportunities
  • Access to OpenUp and Talkspace mental health and wellness platforms
  • Social activities and team-building events

Skills mentioned

PythonAI AgentsEvent-Driven ArchitectureFastAPIReactMongoDBMicrosoft AzureSystem DesignSoftware TestingOpenTelemetry

About DataSnipper

DataSnipper is a global leader in agentic automation for audit and finance. Its AI agents take on work across the full audit and finance lifecycle, from individual tasks to complete procedures, while every output remains traceable to source and professionals retain control over judgment and sign-off. Trusted by Fortune 500 companies, government agencies, and all Big Four audit firms, DataSnipper is used by professionals in 175 countries. In 2025, the platform delivered more than $1.4 billion in productivity savings. The company raised $100 million in Series B funding in 2024, led by Index Ventures, at a $1 billion valuation. Trusted by Fortune 500 companies, government agencies, global enterprises, and all Big Four audit firms, DataSnipper is used by professionals across 175 countries. Named to the 2026 Forbes Fintech 50, Fast Company’s World’s Most Innovative Companies list, and TIME’s Best Inventions of 2025 for AI, DataSnipper delivered more than $1.4B in productivity savings to its customers in 2025. The company raised $100 million in Series B funding in 2024, led by Index Ventures, reaching a $1 billion valuation.

Software Development201-500 employeesAmsterdam, North Holland