About the role#
We are seeking motivated Computer Science engineering interns to join our team and work on Generative AI initiatives. You will contribute to real-world projects involving Retrieval-Augmented Generation (RAG), Agentic AI, and Large Language Models (LLMs) to enhance our financial planning and analysis platform. This role offers hands-on experience at the intersection of AI and enterprise automation.
What you'll do#
- Build and prototype Gen AI solutions using RAG, agentic workflows, and LLMs for FP&A use cases.
- Work closely with product and engineering teams to integrate AI-driven features into the platform.
- Apply strong computer science fundamentals to design efficient algorithms, data structures, and scalable systems.
- Clearly document your work, build workflow diagrams, and present results to the team.
- Complete and demonstrate end-to-end projects that highlight your technical and problem-solving skills.
What you'll need#
- Currently pursuing or recently completed a degree in Computer Science or a related field.
- Strong understanding of data structures, algorithms, system design, and problem-solving.
- Familiarity with concepts such as RAG, Agentic AI, and LLMs.
- Demonstrated ability to build and showcase end-to-end projects in AI, machine learning, or related fields.
- Experience with modern AI frameworks, cloud platforms, and API integration.
Location & details#
- This is a remote, full-time paid internship.
- The term is rolling.
- Sponsorship is not available for this role.
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