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Senior/Staff AI Engineer (AI Accounting Startup)

ScrumAID

New York, NY · Posted November 1, 2026

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November 2026

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How AI is used in this kind of work

Among computer and information research scientists, AI is already used for a large share of the tasks. Measured exposure for computer and information research scientists: 34% (high).

Share of this job’s tasks that AI is already used for at work, from real usage. It is not a forecast of job loss, and a low number means no use seen yet. Source: Anthropic Economic Index.

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About the job

A Series A startup is replacing manual accounting work with AI agents and wants senior and staff engineers who will each own an entire finance domain, such as controls, tax, payroll, fixed assets, cash, close, reporting or revenue. Engineers ship their domain end to end inside a small pod, sitting beside controllers, accountants and finance chiefs instead of waiting for product specs.

The problems

Create AI agents that accountants and auditors can rely on, with evaluation, monitoring, safeguards and checking built for non-deterministic AI

Supply agents with suitable financial context drawn from contracts, policies, ledgers and past decisions, while avoiding bloat, drift and data leaks

Consolidate data from email, CRMs, banks, billing systems, payroll providers and ERPs into one reconciled source of truth

Run durable AI workflows that can be replayed safely over long durations across unreliable, stateful enterprise tools

Apply changes to the underlying financial platforms in a way that is idempotent, auditable and fully traceable

What we value

Fluency with AI coding agents, firm views on matching agents to tasks, and real production code shipped through them

Five-plus years in backend or infrastructure engineering that includes production AI agent systems

Depth in distributed systems, data infrastructure or workflow engines

Ability to pick up an accounting process fast and turn it into working software

An owner’s mindset: you scope your own work, think from the buyer’s point of view and keep moving without needing instruction

Full-stack range spanning infrastructure, backend, user experience and the LLM pipeline

Thoroughness: you trace every failure to its root cause

On-site in New York, NY. Candidates already on a work visa may be considered for transfer.