Description:

Intuit, a global financial technology leader, is looking for a Front End Software Engineer 2 to join their innovative team in Bangalore. If you enjoy solving real-world problems with creative solutions, this is an excellent opportunity to grow in a company that empowers over 100 million customers worldwide through products like TurboTax, QuickBooks, Credit Karma, and Mailchimp.

Job Overview:

This role is perfect for imaginative thinkers and risk-takers who want to help Intuit become AI-native. You’ll be working in a culture that emphasizes innovation, collaboration, and continuous improvement, integrating AI and emerging technologies into software solutions.

Responsibilities:

• Understand customer needs and translate insights into wireframes, mockups, and working code.
• Contribute to site stability by participating in code reviews and writing unit and integration tests.
• Develop UI features using front-end technologies while ensuring proper business logic, backend integration, and styling.
• Work with Agile, SCRUM, or Extreme Programming methodologies.
• Collaborate with cross-functional teams to develop and implement AI-based solutions.
• Deliver high-quality web or mobile software including requirements, design, code, and documentation.

Key Technical Skills:

React, JavaScript, TypeScript, HTML, CSS, GraphQL, AI basics, unit testing, test-driven development (TDD), Agile, SDLC

Requirements:

• BS/MS in Computer Science or equivalent work experience.
• 2+ years of experience developing web, software, or mobile applications.
• Strong understanding of software engineering fundamentals.
• Experience with front-end tech stack: React, JavaScript, TypeScript, HTML, CSS, GraphQL.
• Understanding of the Software Development Life Cycle (SDLC).
• Familiarity with web services, unit testing, and test-driven development (TDD).
• Strong communication skills to explain technical issues to diverse audiences.
• Basic understanding of AI capabilities, especially GenAI; experience with AI technologies preferred.
• Ability to collaborate with machine learning engineers and data scientists.
• Strong problem-solving skills and analytical mindset.
• Eagerness to stay up-to-date with advances in AI technologies and apply them in development.