Senior Software Engineer – Evidence Agents

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.

About the role

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.

Why DataSnipper?

The hardest AI problems aren't about getting an answer fast. They're about getting one people can trust.

We believe trust is essential to how society works. Every day, we rely on information that's been independently verified, from financial statements to the products we buy, to the sustainability claims companies make. Behind that trust are audit and finance professionals who examine evidence, verify information and hold organizations accountable.

At DataSnipper, we build AI solutions that empower those professionals. By making evidence easier to trace and verify, we help them focus on the judgment and expertise that make their work so important.

For our product and engineering team, this is where things get exciting. In audit, a plausible answer isn't good enough. Every output has to be explainable and traceable back to its source. We've just launched a brand new agentic platform, Alwin by DataSnipper. AI agents running in the cloud across hundreds of documents at once, reasoning across PDF, Word and Excel, with a full audit trail behind every step. There are lots of greenfield problems ahead, and real room to shape what we build and how we build it.

And we build at scale. More than 600,000 professionals across 3,000+ organizations in 175 countries rely on DataSnipper, including Fortune 500 companies, government agencies and all Big Four audit firms. In 2025 alone, the DataSnipper platform delivered more than $1.4 billion in productivity savings to is customers. Backed by a $100 million Series B led by Index Ventures, at a $1 billion valuation, and as proud members of 1% for the Planet, we care about how we grow, not just how fast.

If you want to build AI that professionals trust with work that really matters, this is your chance to help shape the future of audit and finance and do the best work of your career along the way.

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 offer

• Be part of one of the fastest-growing, profitable unicorn scale-ups with a global impact

• Equity (Stock Appreciation Rights) to share the company's success and growth

• 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)

• Access to continuous learning and development initiatives to grow your skills

• Engage with a vibrant international team spread across five global offices

• Access to the mental health and wellness platform

• Multiple social activities for team building, including company-wide events like DataSnipper GO, where global teams come together

Recruitment Process

• Recruitment Screen (30 minutes, online)

• Hiring Manager Interview (30 minutes, online)

• Live coding Interview (75 minutes, online)

• System design interview (60 minutes, on-site)

• Final Interview (30 minutes, online)

  At DataSnipper, we believe great ideas come from different perspectives, experiences, and backgrounds. We are committed to building an inclusive workplace and providing every candidate with a fair and equitable hiring experience.

  Our hiring decisions are merit-based and grounded in the skills, experience, potential, and capabilities relevant to the role.

  We welcome applicants regardless of age, race, ethnicity, nationality, gender, gender identity or expression, sexual orientation, religion, disability, or any other characteristic that makes you, you.

  What matters to us is what you can bring to the role, the team, and DataSnipper. 🚀