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indeed

Senior Staff Software Engineer, Fintech Invoicing & Payments

Intuit
USA
Onsite
USD 220500-298500 yearly
Discovered 1 months ago
AI-native application developmentLarge Language ModelsPrompt engineeringAgent orchestrationAI evaluation toolsDistributed systems design

Full Job Posting

Role Overview

Lead complex application segments end-to-end as a Senior Staff Software Engineer at Intuit.

Join the Fintech Invoicing & Payments team building AI-native sales transaction experiences for QuickBooks Online.

Enable small businesses to get paid while ensuring LLM-driven workflows operate accounting systems reliably and safely.

Responsibilities

  • Drive significant technology initiatives across horizontal layers of the architecture.
  • Build solutions from merchant-facing React forms through MCP tools to GraphQL or STS writes in QuickBooks.
  • Create secure, scalable, durable designs that balance immediate delivery with long-term architecture.
  • Partner with Omni, the QBO monolith, payments, design, and external MCP-host partners.
  • Guide AI applicability for customer problems and contribute beyond a single repository's ownership.
  • Validate solution accuracy and prevent regressions before they affect customer books.

Qualifications

  • 10+ years developing systems or software for large business environments.
  • 7+ years designing complex distributed systems, management products, or business applications.
  • Full-stack experience applying AI technologies and tools to frontend or backend solutions.
  • Experience with SageMaker, Vert.x, LangChain, large language models, prompt engineering, DialogFlow, and Python.
  • Experience with at least one frontend technology such as React or Angular, or backend technology such as Java, TypeScript, Spring, or Express.js.
  • 1+ years working on teams that built AI-native applications.
  • Ability to drive velocity in a highly matrixed stakeholder environment.
  • Bachelor's or master's degree in Computer Science or a related area.
  • Experience coding with ChatGPT and Claude, including custom plugins or applications.

Technical Focus

  • Apply LLM and prompt or tool-description engineering to accounting workflows.
  • Use agent orchestration frameworks such as LangChain or LangGraph-style tools.
  • Use evaluation tooling to measure accuracy and validate AI-enabled solutions.
  • Build robust software with high availability and optimal performance.

Compensation

  • Expected base pay range in Mountain View is $220,500 to $298,500 per year.
  • The role is eligible for cash bonus, equity rewards, and benefits under applicable plans.

Benefits

  • Compensation includes a pay-for-performance rewards approach.
  • Pay is based on job-related knowledge, skills, experience, and work location.

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