AI Engineer INTERN

As an AI Engineer Intern, you will not be doing busywork. You will be hands-on with our production software pipelines, helping to design, test, and scale our core machine learning models and generative AI systems. This role is ideal for a student or recent graduate eager to bridge the gap between academic theory and high-impact industrial AI deployment. **Key** **Responsibilities** * **Model Development & Prototyping:** Assist in building and refining pattern recognition models, neural network architectures, or agentic workflows (e.g., LangChain, LlamaIndex). * **Pipeline Infrastructure:** Collaborate with data and software engineers to develop scalable data pipelines for curation, automated labeling, and model evaluation. * **Generative AI & RAG:** Help build and optimize Retrieval-Augmented Generation (RAG) architectures, minimizing model hallucinations and improving response retrieval using embeddings and re-ranking. * **Testing & Quality Assurance:** Create and execute automated and human-in-the-loop evaluation frameworks to benchmark model accuracy, performance, and safety guardrails. * **Cross-functional Collaboration:** Participate in code reviews, technical documentation, and standups to ensure robust integration of AI components into production systems. **What We Are Looking For** * **Educational Background:** Currently pursuing or recently graduated with a degree (BS, MS, or PhD) in Computer Science, Data Science, Artificial Intelligence, or a related quantitative field. * **Core Programming:** Strong proficiency in Python and hands-on experience with modern backend or ML frameworks (e.g., FastAPI, PyTorch, TensorFlow, or JAX). * **AI/ML Fundamentals:** Solid understanding of machine learning basics, Natural Language Processing (NLP), or Computer Vision.