Senior Software Engineer, Fintech Invoicing & Payments

Position: Senior Staff Software Engineer, Fintech Invoicing & Payments
Company Overview Intuit is the global financial technology platform that powers prosperity for the people and communities we serve. With tens of millions of customers worldwide using products such as Turbo Tax, Credit Karma, Quick Books, and Mailchimp, we believe that everyone should have the opportunity to prosper. We never stop working to find new, innovative ways to make that possible.

Job Overview Come join Intuit as a Senior Staff Software Engineer! We're constantly evolving to deliver on our mission to power prosperity around the world. As a Senior Staff Engineer, you'll lead complex application segments end-to-end. You'll design durable software, build AI-native applications using commoditized AI, and influence technology direction across teams and domains. You'll solve hard cross-cutting problems and accelerate the engineers around you.

Intuit is a global technology platform that helps consumers and small businesses overcome their most important financial challenges.

On the Fintech Invoicing & Payments team, we build the AI-native sales transaction experience for Quick Books Online — the Platform where small businesses get paid. As a Senior Staff Software Engineer on the team, you will drive significant, end-to-end technology initiatives across both horizontal layers — from the React form a merchant sees to the MCP tool an agent calls to the GraphQL/STS write that lands in Quick Books — executing with a boundaryless mindset and contributing well outside any single repo's ownership.

The hard, domain-specific work here is making an LLM reliably and safely operate a real accounting system: writing tool descriptions and structured-content contracts precise enough that the model stops asking redundant clarifying questions yet never corrupts a ledger.

You'll partner across a highly matrixed set of stakeholders (Omni, the QBO monolith, payments, design, and external MCP-host partners) to translate customer behavior into durable, scalable, secure designs that balance short-term delivery against long-term architecture. Critically, you'll guide where AI genuinely helps and where it doesn't: you bring a deep, hands-on understanding of LLMs and prompt/tool-description engineering, agent orchestration (Lang Chain/Lang Graph-style frameworks), and the evaluation tooling needed to validate accuracy and prevent regressions before they reach a customer's books.

Responsibilities Drives velocity in the organization by accelerating customer, business, and technology outcomes by identifying and driving key opportunities across the company.

Drives significant technology initiatives end-to-end, including horizontal layers of the architecture.

Understands customer behaviors and partners with cross-functional partners to influence and drive end-to-end solutions for customer problems.

Drives design and implementation of durable software solutions that will solve critical customer problems in a fast-paced environment.

Executes with a boundaryless mindset and contributes to solutions outside of their primary area of ownership.

Knowledge of building AI native applications.

Prior working experience in teams that have built AI native applications for 1+ years.

Guides the applicability of AI to customer problems through a deep understanding of the value and limitations of AI technologies.

Understands evaluation tools to validate and measure the accuracy of solutions.

High-level understanding of how AI models work, the different types of AI models that exist, and their pros and cons.

Understanding of the latest tools and technologies that apply AI to real-world applications.

Creates robust, scalable, and secure technical designs, effectively implementing them to balance short-term and long-term objectives, ensuring…