Staff AI - Backend Engineer

Overview

Intuit is a global technology platform that helps our customers and communities overcome their most important financial challenges. We help give over 50 million consumers, small business, and self-employed customers around the world the opportunity to prosper. We are looking for talent to join Intuit’s Foresight team. The team’s mission is to develop and incubate emerging technologies, user experiences, AI capabilities and products that have the potential to be transformative to our customers and business.

The AI Productization team ensures that the AI capabilities are delivered to our customers as well as developers and AI scientists across the company. The team also builds end-to-end applications, thus providing our customers the benefit to enjoy the transformative technologies.

Come join the team as a Staff Back End Engineer. We are seeking a highly skilled engineer passionate about building a world-class platform at a high scale, specifically focused on AI productization

Responsibilities

• System Design: Design, implement, and enhance services at large scale. Use your coding expertise to design and implement scalable, modular, and secure services.
• AI Implementation: Develop backend systems that support serving of LLMs and AI Agents.
• End-to-End Ownership: E2E responsibilities including technical documentation and automation tests. Resolve defects and bugs during testing, production, and post-release patches.
• Collaboration: Work cross-functionally with various Intuit teams: product management or business units to drive forward results. Participate in peer code reviews.
  
  

• Experience: 7+ years of experience designing and developing consumer-facing web applications.
• AI & Scale: Experience building AI products serving at high scales. Experience in latest AI technologies for productivity and building agents is a great plus.
• Tech Stack: Experience with Java and Python. Hands-on knowledge of web technologies (Redux) in a single page architecture is a must.
• Algorithmics: Solid knowledge of algorithms and design patterns.
• Education: BS/MS in computer science or equivalent work experience.