This article explains who the internship is for, what kinds of work it focuses on, and how work is expected to proceed. It covers interest in learning how to work on open-source software projects and Generative AI applications (RAGs, AI agent workflows, etc.), the expected background level, and the supervision model so candidates understand what to expect before applying or practicing on projects.
Who this internship is for
The internship is aimed at people with an interest in learning how to work on and/or practicing on open-source software projects and Generative AI applications, including RAGs and AI agent workflows. Candidates should have a background relevant to those areas at the late-student or early-career professional level.
Project focus and relevant background
Work centers on open-source software projects and Generative AI applications. The content explicitly mentions RAGs and AI agent workflows as examples within Generative AI. A relevant background at the late-student or early-career professional level is specified as appropriate for this internship.
Work model and expectations
This internship requires no supervision; ongoing support from maintainers should not be expected. That means participants will need to proceed without regular guidance from project maintainers and be prepared to work independently on open-source and Generative AI tasks.
In summary, the opportunity is for those interested in hands-on learning and practice with open-source projects and Generative AI (notably RAGs and AI agent workflows), who have a late-student or early-career professional background, and who can operate without supervision or ongoing maintainer support.
