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Intuit Staff Software Engineer Agentic AI United States, California, Mountain View 773264538
08.05.2025
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Intuit is the global financial technology platform that powers prosperity for the people and communities we serve. With approximately 100 million customers worldwide using products such as TurboTax, Credit Karma, QuickBooks, 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.
Responsibilities
- Deliver exceptional customer experiences that drive significant business growth
- Drive significant technology initiatives end-to-end and across multiple layers of architecture including AI.
- Drive the design and implementation of durable and software solutions to solve crucial customer problems that are scalable, secure, easy to maintain, and interact with numerous other systems
- Provide recommendations and best practices for application development, platform development, and developer tools
- Actively stay abreast of industry best practices, share learnings, and experiment and apply cutting edge technologies
- Provide/inspire innovations that fuel the growth of Intuit as a whole and generate creative ideas for emerging business needs
- Partner and work with global teams across time zones
- Communicate clearly, succinctly, and persuasively to all levels of employees, customers, and management (including executives)
- Proactively identify opportunities to enhance software applications with AI
technology
- Coach and mentor junior engineers on best practices of software engineering and executing with high velocity
- Launch AI integrations in production and evaluate their impact on software performance and user satisfaction, using appropriate metrics
Qualifications
- BS/MS in Computer Science or related area or equivalent experience.
- Proficient in building or integrating functional AI models using techniques such as prompting and fine tuning LLMs, modeling, etc
- 7+ years of total experience delivering enterprise-class applications.
- Proficiency in backend engineering
- Solid foundation in writing scalable application code following best practices of accessibility, internationalization, and instrumentation.
- Solid knowledge of algorithms and design patterns.
- Proficiency in languages like Java, Kotlin, and Python.
- Experience with test automation: TDD, unit/integration/functional testing.
- Experience with Relational Database Design and Implementation.
- Experience in building CI/CD pipelines.
- Practical experience in developing applications using microservices, container technologies, container management systems such as Kubernetes, Mesos, etc.
- Experience building and deploying applications and services into cloud environments.
- Skilled in evaluating and monitoring the performance of AI technology in production and making necessary adjustments to ensure optimal application performance
- Possesses an in-depth understanding of AI integration and can lead the integration process effectively, while coaching junior engineers on how to leverage AI
- Ability to work collaboratively with cross-functional teams, including data scientists, product managers, and software engineers.
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