Senior Software Engineer, Datasnipper

• 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

Desirable

• 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 Alwi
• 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
• 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
• 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
• 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
• 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