Senior Software Engineer – Evidence Agents

The role

You will build agentic systems that manage the evidence request lifecycle for the Alwin platform. This involves designing long-running, event-driven agent behavior and building firm- and client-facing experiences in React.

What you will do

• Build agents that run the evidence request lifecycle
• Design long-running, event-driven agent behaviour
• Build agents that validate received evidence against the request
• Work with the Agent Runtime and Document Intelligence teams
• Model complex workflow state reliably
• Build the firm- and client-facing experience in React
• Connect requests to the rest of Alwin
• Implement security, access-control and audit-trail requirements
• Own features end-to-end in a Python stack on Azure
• Instrument agents in production using traces

Required qualifications

• 6+ years in software engineering, with strong, production-grade Python
• Hands-on experience building and operating agentic systems in production
• Experience building workflow-heavy products
• 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)
• Proficient with AI-assisted Engineering (Claude Code)
• Excellent communication

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

Benefits

• Equity (Stock Appreciation Rights)
• Flexible paid time off
• Comprehensive medical and dental coverage
• 401K match
• Paid parental leave
• Company-sponsored lunch
• Access to continuous learning and development initiatives
• Access to the mental health and wellness platform
• Multiple social activities for team building

Before you apply

• 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)

About the company

DataSnipper builds AI solutions that empower audit and finance professionals. The platform is used by more than 600,000 professionals across 3,000+ organizations in 175 countries.