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Senior Software Engineer – Agent Builder

DataSnipper · New York · Remote

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About DataSnipper

Trusted by all top 100 accounting firms, DataSnipper's AI agents handle audit and finance testing while your team stays in control. Book a demo today. Backed by Index and Insight.

About the role

Agent Builder is where firms encode their methodology into agents. Methodology and quality teams describe how a procedure should execute; you build the product that turns that into a governed, versioned agent their whole firm can run consistently, every time. The problems are largely open: there is no playbook for letting auditors author production agents in a regulated domain, so you will help write it. Found on 1752vc Careers, the job board for startup and VC roles.

What they're looking for

  • 6+ years in software engineering, with strong, production-grade Python
  • Hands-on experience building and operating agentic systems in production : control loops, tool calling, planning versus execution, retries and fallbacks, not only prompt-and-parse pipelines
  • Experience with LLM APIs and agent frameworks across more than one model provider
  • 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
More about this role

We are looking for a Senior Software Engineer in our New York office to join the Agent Builder 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.

Agent Builder is where firms encode their methodology into agents. Methodology and quality teams describe how a procedure should execute; you build the product that turns that into a governed, versioned agent their whole firm can run consistently, every time. The problems are largely open: there is no playbook for letting auditors author production agents in a regulated domain, so you will help write it.

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.

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...

Read the full posting on DataSnipper's site ↗

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