In brief, Intuit is looking to solve customer problems by integrating AI and emerging technologies to efficiently and effectively deliver financial management solutions.
Requirements
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- Solid foundation in writing scalable application code following best practices of accessibility, internationalization, and instrumentation.
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- Experience with cross-browser, cross-platform, and design constraints on the web and mobile.
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- Solid knowledge of algorithms and design patterns.
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- Proficiency in mid-tier languages like Java.
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- Experience with test automation: TDD, unit/integration/functional testing.
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- Practical experience in developing applications using microservices, container technologies, container management systems such as Kubernetes, Mesos, etc.
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- Proficient in building or integrating functional AI models using techniques such as LLM prompting, AutoML modeling, etc
Responsibilities
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- Drive significant technology initiatives end-to-end and across multiple layers of architecture.
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- Architect and develop scalable applications or systems.
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- Drive the design and implementation of durable software solutions to solve critical customer problems that are scalable, secure, easy to maintain, and interact with numerous other systems.
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- Provide recommendations and best practices for application development, platform development, and developer tools.
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- Actively stay abreast of industry best practices, share learnings, and experiment and apply cutting edge technologies.
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- Proactively identify opportunities to enhance software applications with AI technology
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- Launch AI integrations in production and evaluate their impact on software performance and user satisfaction, using appropriate metrics
Other
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- BS/MS in Computer Science or related area or equivalent experience.
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- 7+ years of total experience delivering enterprise-class applications.
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- Ability to work collaboratively with cross-functional teams, including data scientists, product managers, and software engineers
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- Communicate clearly, succinctly, and persuasively to all levels of employees, customers, and management (including executives)
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- Coach and mentor junior engineers on best practices of software engineering, leveraging AI to enhance applications, and building their technical expertise to ensure efficient and effective outcomes
