Senior AI-Native Software Engineer – Payments Platform

Intuit, Inc.; Mountain View (CA); On-site; USD 221,000 - 299,000; Full time

Job summary

Intuit, Inc. in Mountain View, CA seeks a Senior Staff Software Engineer to advance AI-native Payments & Invoicing capabilities across customer segments.

You will own end-to-end product delivery, drive architecture decisions, and contribute to rapid experimentation and secure, scalable software solutions. The role emphasizes customer obsession, boundaryless collaboration, and delivering transformative AI solutions with hands-on development across cloud and AI tooling.

Qualifications

• 10+ years of experience developing systems/software for large business environments.
• 7+ years of experience designing complex distributed systems, management products, or business applications.
• Full-stack development experience with AI technologies/tools and apply it to user experiences or backend solutions.
• Experience with AI technologies like SageMaker, Vert.x, LangChain, Large Language Models, Prompt Engineering, DialogFlow, Python.
• Experience with React, Typescript, NodeJS, Java, Spring.
• Prior working experience in a cloud computing environment like AWS/GCP is highly desired.
• Ability to drive velocity in a highly matrixed environment, partnering with numerous stakeholders.
• Prior experience working in teams that have built AI native applications for 1+ years BS/MS in Computer Science or related area.
• Explicit experience with coding using Code Assist tools like Claude, including the development of custom plugins or applications.

Responsibilities

• Drives velocity in the organization by accelerating customer, business, and technology outcomes by identifying and driving key opportunities across the company.
• Hands-on technologist who actively contributes to code, architecture decisions, and drives significant technology initiatives end-to-end.
• 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 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 high availability and optimal performance of applications.
• Passionate for continuous learning, experimenting, and applying cutting-edge technology and software paradigms to solve customer problems.

Skills

Distributed systems

Full-stack AI development

AI technologies stack

React/Typescript/NodeJS/Java/Spring

Cloud AWS/GCP

Cross-functional collaboration

AI native apps exp

Code Assist tools (Claude)

End-to-end ownership

Education

BS/MS in Computer Science or related

Tools

SageMaker

Vert.x

LangChain

Large Language Models

Prompt Engineering

DialogFlow

Python

Claude plugins

Job description

Intuit, Inc. in Mountain View, CA seeks a Senior Staff Software Engineer to advance AI-native Payments & Invoicing capabilities across customer segments.

You will own end-to-end product delivery, drive architecture decisions, and contribute to rapid experimentation and secure, scalable software solutions. The role emphasizes customer obsession, boundaryless collaboration, and delivering transformative AI solutions with hands-on development across cloud and AI tooling.