Software Engineer 2, AI Builder

Overview

Intuit is the global financial technology platform that powers prosperity for the people and communities we serve. With over 100 million customers worldwide using our flagship products - TurboTax, Credit Karma, QuickBooks, and Mailchimp, we believe that everyone should have the opportunity to prosper. Intuit’s strategy is to be a global AI-driven expert platform delivering world-class experiences for our customers at unprecedented speed and scale.

With AI at the heart of the strategy, Intuit has created a new organization – Foresight, led by our Chief AI Officer to drive Intuit’s evolution as a global AI technology leader through a dedicated research and innovation focus and a partnership with leading academic and industry organizations. Intuit’s AI teams have access to rich data and production grade AI platforms, enabling our scientists and engineers to move quickly from research to impact.

We are looking for an exceptional Full-Stack Software Engineer who operates with a high degree of autonomy and builds impactful products with high velocity. In this role, you will leverage the latest AI coding tools to dramatically accelerate your output, run rapid experiments directly with customers, and contribute to building 0 → 1 AI native products. If you are a builder who loves to ship fast, learn continuously, and independently drive impact, then this is the right role for you! You will be part of a vibrant team of AI Scientists and Engineers whose efforts translate cutting-edge research into robust, scalable AI systems that deliver massive customer impact.

Responsibilities

• Rapid Development & Execution: Design, build, and ship full-stack software solutions that deliver transformative AI native experiences for our customers.

• AI-Accelerated Engineering: Extensively leverage AI coding tools to write, test, and deploy code faster and more efficiently than traditional methods.

• Customer-Centric Experimentation: Work on the front lines with end-users to conduct rapid product experiments, gather real-world feedback, and iterate quickly based on data.

• Autonomous Navigation: Operate comfortably in a fast-paced environment, taking extreme ownership of your projects from inception to launch.

• Transformative Innovation: Use cutting-edge technology and tools to build 0 → 1 AI-native products that delight our customers.

Qualifications

• BS / MS in Computer Science, Computer Engineering, or a related field.

• Technical & Craft Expertise : Proven expertise as a Full-Stack Software Engineer building modern, scalable applications using technologies like React, along with backend languages like Python and Java.

• AI Tools Fluency : Hands-on experience using AI coding tools (e.g., Claude Code, Cursor, Codex) to augment and accelerate your daily development workflows.

• Experience building large-scale Machine Learning applications on cloud platforms like AWS, GCP, or Azure.

• Velocity and Adaptability: An aggressively entrepreneurial spirit with a track record of moving fast, delivering results quickly, and an insatiable hunger for learning and immediately leveraging new AI technologies and tools.

• Customer Obsession : A strong desire to be close to the customer, with demonstrated experience running A/B tests, prototypes, or rapid user experiments.

Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit®: Careers | Benefits ( ). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is:

Bay Area California $ 140,500- 190,000

New York $ 136,000- 184,000

EOE AA M/F/Vet/Disability. Intuit will consider for employment qualified applicants with criminal histories in a manner consistent with requirements of local law.