Engineering Intern – Gen AI for FP&A Platform

About the Role

We are 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 (Financial Planning & Analysis) platform. This is a unique opportunity to gain hands-on experience at the intersection of AI and enterprise automation.

Key Responsibilities

• 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 computer science 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.

Qualifications

• Academic Background: Currently pursuing or recently completed a degree in Computer Science or a related field.
• Technical Skills: Strong understanding of DSA (Data Structures & Algorithms), system design, and problem-solving.
• AI/ML Exposure: Familiarity with concepts such as RAG, Agentic AI, and LLMs. Completion of relevant projects is preferred.
• Practical Experience: Demonstrated ability to build and showcase end-to-end projects in AI/ML or related fields.
• Communication: Excellent verbal and written communication skills.

Preferred

• Project Portfolio: Evidence of completed projects involving Gen AI, RAG, or agentic workflows.
• Hands-on Skills: Experience with modern AI frameworks, cloud platforms, and API integration.

Why Drivetrain.ai?

• Real-World Impact: Work on cutting-edge Gen AI projects for enterprise automation.
• Mentorship: Learn from industry experts and collaborate with a passionate team.
• Flexibility: Remote or hybrid options available to suit your schedule.