Job Overview
We're cultivating a culture that prioritizes innovators, risk-takers, and imaginative thinkers. In pursuit of becoming AI-native, we recognize that fostering a "builder" mindset is essential. This means seeking out those who can seamlessly integrate AI and emerging technologies to efficiently and effectively solve our customers' problems.
At Intuit, we hold a global leadership position in financial management solutions. We've been at the forefront of inventing Virtual Platforms and democratizing cloud computing for small businesses and their patrons alike. Our 40 years of expertise have rooted us in the startup mentality, positively disrupting ourselves as we constantly identify cutting-edge technology and design paradigms. Our teams are dynamic, focused on delivering creative solutions with a side of fun.
Responsibilities
- Develop and implement software solutions that address critical customer issues and ensure that they are secure, scalable, easy to maintain, and interact with various other services.
- Contribute to overall site stability, including code reviews, writing unit and integration tests
- Deliver high quality AI native application, multi-modal applications and their backends. Primarily and Rapidly V1 products that can be tested with customers.
- Experience with Agile Development, SCRUM, or Extreme Programming methodologies
- Ability to effectively influence and communicate concepts with both technical and non-technical stakeholders
- Work collaboratively with cross-functional teams to develop and implement AI-based solutions
Qualifications
- BS/MS in Computer Science or relevant field, or equivalent experience.
- 4+ years’ experience in delivering enterprise-class applications.4+ years’ experience in developing software for large business environments (preferably in Java/J2EE, Python, Go).
- Basic understanding of AI capabilities, specifically GenAI
- Ability to work collaboratively across analytics, engineering, product, design, and AI
- Nice to have: Minimum of 1 year of working experience in building applications with GenAI and LLM’s.
- Ability to work collaboratively with AI experts and integrate AI into existing systems as needed, with guidance.
- Conversant with AI Native principles and able to apply them to software development
- Full-stack development experience with AI technologies and tools; applying it to user experiences or backend.
- Experience with microservices, container technologies, and container management systems such as Kubernetes or Mesos.
- Experience in utility computing and cloud computing domains.
- Capability to build and deploy applications and services in cloud environments.
- Strong problem-solving skills and analytical mindset
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