Engineering Intern – Gen AI for FP&A Platform
Drivetrain
IndiaremotePosted 1 month ago
Skill Required
Software-Engineering-InternGenerative-AI-EngineerMachine-Learning-EngineerAI-ResearchData-Science-InternAI-Engineering-InternGenerative-AI-InternAI-Engineering-InternshipAI-and-Prompt-Engineering-InternAI-Analytics-InternAI-Software-Developer-InternAI-Development-InternAI-Product-InternDeveloperAI EngineerPlatform EngineerEngineeringAIData StructuresSystem DesignGenerative AIrelated fieldautomationwrittendesignCloudDesign PatternsRustRAGandMachine LearningInternship
Key highlights
- Internship role for Computer Science students (currently pursuing or recent graduates).
- Focus on Generative AI, Retrieval‑Augmented Generation, Agentic AI, and LLMs.
- Remote‑friendly with remote or hybrid options.
- Mentorship from industry experts.
- Strong requirement: solid understanding of Data Structures & Algorithms.
- No salary disclosed.
Role overview
Drivetrain is seeking highly motivated Computer Science engineering interns passionate about Generative AI to join its team. Interns will work on real‑world projects involving Retrieval‑Augmented Generation, Agentic AI, and Large Language Models to enhance the company’s FP&A platform, gaining hands‑on experience at the intersection of AI and enterprise automation.
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.
- 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.
Requirements
- 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.
- 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.
Nice to have
- Completion of relevant projects involving RAG, Agentic AI, or LLMs is 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.
Benefits
- Remote‑friendly: Work from anywhere with a great degree of autonomy.
- Open & transparent culture: Access to information to enable best work.
- Idea‑friendly environment: Explore new ideas, take risks, make mistakes, and learn.
- Customer‑centric product‑led growth strategy.
- Flexibility: Remote or hybrid options available to suit your schedule.
- Mentorship: Learn from industry experts and collaborate with a passionate team.
- Real‑World Impact: Work on cutting‑edge Gen AI projects for enterprise automation.
Additional details
- Drivetrain is on a mission to empower businesses to make better decisions with its financial planning & decision‑making platform.
- Drivetrain is a remote‑first company headquartered in the San Francisco Bay Area, founded in 2021 by ex‑Googlers.
- The company is fast‑growing with backing from leading venture capital firms.
- Drivetrain provides a great culture for its employees to thrive in and be happy.
- Apply now and help shape the future of intelligent FP&A!
- Candidates with a strong project portfolio and solid computer science fundamentals are encouraged to apply.
- Sounds exciting? Apply at . It may just be the next best decision you’ve ever made!
- Originally posted on Himalayas.
