Remote Gen AI Intern for FP&A Platform

Drivetrain

United States

Remote

USD 13,000 - 20,000

Full time

14 days+

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Benefits offered by this job

Flexible working hours
Mentorship from industry experts
Work on cutting-edge projects

Job summary

A financial planning platform seeks a motivated Computer Science engineering intern to work on real-world projects involving Generative AI. Responsibilities include building AI solutions and collaborating with teams. Ideal candidates are pursuing a degree in Computer Science and have strong technical skills. This remote-first opportunity offers a chance to engage with cutting-edge technology while contributing to meaningful projects.

Qualifications

  • Currently pursuing or recently completed a degree in Computer Science or a related field.
  • Strong understanding of DSA, system design, and problem-solving.
  • Familiarity with RAG, Agentic AI, and LLMs, with project completion preferred.
  • Ability to build and showcase end-to-end projects in AI/ML or related fields.
  • Excellent verbal and written communication skills.

Responsibilities

  • Build and prototype Gen AI solutions using RAG, agentic workflows, and LLMs.
  • Collaborate with product and engineering teams to integrate AI features.
  • Design efficient algorithms, data structures, and scalable systems.
  • Document work and present results clearly.
  • Complete and demonstrate end-to-end projects showcasing skills.

Skills

Data Structures & Algorithms
System design
Problem-solving
Generative AI
Agentic AI
Large Language Models (LLMs)

Education

Degree in Computer Science or related field

Tools

AI frameworks
Cloud platforms
API integration

Job description

A financial planning platform seeks a motivated Computer Science engineering intern to work on real-world projects involving Generative AI. Responsibilities include building AI solutions and collaborating with teams. Ideal candidates are pursuing a degree in Computer Science and have strong technical skills. This remote-first opportunity offers a chance to engage with cutting-edge technology while contributing to meaningful projects.
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