Intuit Staff Software Engineer Agentic AI 

United States, California, Mountain View 

773264538

• 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

• 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.