Remote Gen AI Intern for FP&A Platform & RAG

Drivetrain

United States

Híbrido

USD 18.000 - 32.000

Jornada completa

14 días+

Una candidatura completa en un minuto

Currículum y carta de presentación personalizados, listos para enviar.

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Descripción de la vacante

Drivetrain is seeking highly motivated Computer Science engineering interns passionate about Generative AI to join our team. You will work on real-world projects involving Retrieval-Augmented Generation (RAG), Agentic AI, and Large Language Models (LLMs) to enhance our FP&A platform.

This is a unique opportunity to gain hands-on experience at the intersection of AI and enterprise automation. You will collaborate with product and engineering teams, develop Gen AI solutions, and showcase

Formación

  • Pursuing or recently completed CS degree.
  • Strong understanding of data structures & algorithms.
  • Familiarity with concepts such as RAG, Agentic AI, and LLMs; project experience preferred.
  • Demonstrated ability to build and showcase end-to-end projects in AI/ML or related fields.
  • Excellent verbal and written communication skills.

Responsabilidades

  • Develop & Experiment: Build and prototype Gen AI solutions using RAG, agentic workflows, and LLMs for FP&A use cases.
  • Collaborate: Work closely with product and engineering teams to integrate AI-driven features into the platform.
  • Optimize: Apply strong CS fundamentals to design efficient algorithms, data structures, and scalable systems.
  • Document & Present: Clearly document your work, build workflow diagrams, and present results to the team.
  • Showcase: Complete and demonstrate end-to-end projects that highlight your technical and problem-solving skills.

Conocimientos

DSA
System design
Problem solving
Communication

Educación

Currently pursuing or recently completed CS degree

Herramientas

AI frameworks
Cloud platforms
API integration

Descripción del empleo

Drivetrain is seeking highly motivated Computer Science engineering interns passionate about Generative AI to join our team. You will work on real-world projects involving Retrieval-Augmented Generation (RAG), Agentic AI, and Large Language Models (LLMs) to enhance our FP&A platform.

This is a unique opportunity to gain hands-on experience at the intersection of AI and enterprise automation. You will collaborate with product and engineering teams, develop Gen AI solutions, and showcase

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