Expoint - all jobs in one place

Finding the best job has never been easier

Limitless High-tech career opportunities - Expoint

SAP SAP iXp Intern - Software Developer Vancouver 
Canada, British Columbia, Vancouver 
55458051

04.07.2024

Three reasons to intern at SAP

  1. Culture of collaboration: meet with mentors, make new friends across the globe and create a thriving personal network.
  2. Project-driven experience: gain cross-functional skills from our virtual and in-person learning sessions, diverse subject matter experts, and project deliverables.
  3. Gain visibility: with SAP Internship Experience Program in your title, you’ll have a global network of SAP leaders, entrepreneurs and career development opportunities at your fingertips.

What you’ll do

Expected Start Date: 3 Sep 2024

Contract Duration: 8 months

Work Hours: 40 hours per week

  • After ramping up with the team, you’ll directly step into our daily tasks
  • You will be responsible for building new features and supporting existing ones; and involved in the complete lifecycle of our products: development phase, testing and analysis, and troubleshooting
  • As one of your main tasks - you will be involved in integrating a RAG based solution into our existing content delivery services – this will involve using certain ML and AI related techniques
  • You will also be involved in resolving and troubleshooting customer tickets

What you bring

We’re looking for someone who takes initiative, perseveres, and stay curious. You like to work on meaningful innovative projects and are energized by lifelong learning.

  • Currently taking a computer science, engineering, natural science or related subject
  • Analytical thinking and tackling complex issues
  • Methodical and independent working mode
  • Service and customer orientation
  • Experience using tools like Git / Github / Jenkins / Maven / Apache
  • Programming experience in Java and Object Oriented Design
  • Development Experience with Hyperscalars would be beneficial
  • Interest and experience with AI related areas such as prompt engineering, fine-tuning, and LLM training