Drivetrain
Flexible location
Engineering Intern – Gen AI for FP&A Platform
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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.