Duration: Jan/Feb 2026 to May?june 2026
Team Size: 1 to 2 members
Location: Work from home
Workload: 4-5 hrs/day, 4-5 days/week
We invite motivated and creative graduating students to participate in an exciting internship program focused on the development of innovative agentic RAG (Retrieval-Augmented Generation) tools and applications. This internship offers an opportunity to explore cutting-edge AI technologies, contribute to practical projects, and shape next-generation intelligent systems.
The internship is designed to be open and exploratory, allowing students from diverse technical and creative backgrounds to contribute their skills and ideas. The exact project scope will be tailored to align with each student's interests and expertise, ensuring a rich and personalized learning experience.
Key focus areas include (but are not limited to):
Students will build agentic RAG applications using Dexto and Rag-lite TS.
Students will work under mentorship, with opportunities to collaborate, present ideas, and contribute to innovative prototypes or proof-of-concept demonstrations.
The internship duration is flexible, ranging from 4 to 6 months, depending on project scope and student availability.
This program is open to graduating students from diverse disciplines, including but not limited to:
Prerequisites: Prior knowledge of JavaScript or TypeScript is REQUIRED. Familiarity with AI/ML frameworks is beneficial but not mandatory. A strong curiosity, problem-solving mindset, and willingness to learn are the key prerequisites.
By the end of the internship, students will:
Interested students are encouraged to submit:
Project allocation will be done based on interest areas, ensuring diversity of topics and approaches.
Please apply at contact@tofrugalx.com