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Stuut

Autonomous AI agent automates finance operations

Member of Technical Staff - Full Stack, Credit

Full-Stack EngineeringConfirmed live in the last 24 hours
Full-timeIn-person

About the Job

Requirements

  • Experience building credit, lending, payments, accounting, or other financial systems where correctness and controls matter.
  • Experience building deterministic policy engines, decision systems, ledgers, balance calculations, or exposure systems.
  • Understanding of reconciliation, idempotency, audit trails, data provenance, and failure recovery.
  • Ability to reason through incomplete, delayed, duplicated, or contradictory financial data.
  • Ability to think explicitly about state transitions, overrides, corrections, exceptions, and the difference between confirmed and pending financial state.
  • Strong systems design and product engineering judgment, including the ability to trace a financial result to how it was produced.
  • High proficiency in Python and experience working with Postgres, Snowflake, and AWS.
  • Ability to thrive in a high-growth startup environment, work closely with product, and own problems end to end.

Responsibilities

  • Build and own core systems powering Stuut’s credit and financing products.
  • Develop reliable exposure, balance, eligibility, and limit calculations across complex financial data.
  • Design deterministic policy and decision systems that make credit outcomes explainable and auditable.
  • Model financial state across invoices, payments, credits, disputes, orders, and related events.
  • Build systems that safely handle delayed, duplicated, missing, or conflicting upstream data.
  • Create controls for reconciliation, idempotency, stale state, overrides, corrections, and failure recovery.
  • Integrate external credit data and internal behavioral signals into decision workflows.
  • Partner closely with product, data, and operations to translate real customer workflows into scalable product behavior.
  • Build reusable credit-domain primitives without introducing customer- or ERP-specific logic into the core system.

Desired Qualifications

  • Experience with DBOS.

About the Company

Stuut

Autonomous AI agent automates finance operations

Stuut builds AI-powered automation tools for the finance sector. Its core product is an autonomous AI agent that handles non-strategic, repetitive tasks to speed up operations. The agent plugs into clients’ existing software stacks, making it usable across departments such as customer service and sales. Customers pay a recurring subscription to access the AI agent and its features, with optional add-on services for custom integrations and support. Compared with peers, Stuut emphasizes applying autonomous automation specifically to financial institutions and enterprises, offering seamless integration and a ready-to-use agent that reduces manual workload. The company’s goal is to help organizations run more efficiently by cutting busywork and making routine processes faster and more reliable.

Company size
51-200
Company stage
Late Stage VC
Total funding
$103M
Headquarters
New York City, New York
Founded
2024

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