Application Development Intern: Full-Stack Learning & Mentorship

Ryan LLC; Plano (TX); Sur place; USD 28 000 - 41 000; Plein temps

Avantages offerts par ce poste

Competitive pay

Award-winning culture

Paid holidays

Mentorship

Hands-on training

Networking with industry leaders

All-expense-paid trip to Dallas HQ (夏季

Résumé du poste

Ryan LLC in Plano, TX is offering an Application Development Intern position to work with experienced technology professionals on a client-facing, tax-related application. The program emphasizes hands-on training with .NET/C#, React/TypeScript, and Azure, aiding feature development, testing, and performance improvements.

Ideal candidates are pursuing a CS/AI degree, have project experience, and maintain a 2.8 GPA.

Qualifications

• Working toward a Bachelor’s or Master’s degree in Computer Science, AI, or related field.
• Programming coursework or project experience in software development.
• Anticipated graduation date within one year of internship.
• Minimum GPA of 2.8 overall and in major.

Responsabilités

• Assist in developing, testing, and enhancing features for a client-facing software application.
• Collaborate with engineers to build scalable, reliable solutions.
• Gain exposure to full-stack development including front-end and back-end tech.
• Troubleshoot, debug, and test to improve performance and UX.
• Contribute to projects that streamline business processes and client experience.

Connaissances

Problem solving

Analytical thinking

Communication skills

Curiosity

Formation

Bachelor's or Master’s in Computer Science / AI or related

Outils

Microsoft Word

Access

Excel

PowerPoint

Outlook

Internet navigation

Description du poste

Ryan LLC in Plano, TX is offering an Application Development Intern position to work with experienced technology professionals on a client-facing, tax-related application. The program emphasizes hands-on training with .NET/C#, React/TypeScript, and Azure, aiding feature development, testing, and performance improvements.

Ideal candidates are pursuing a CS/AI degree, have project experience, and maintain a 2.8 GPA.