Summer 2026 AI Engineer Intern

Currently enrolled in a Master’s of PhD program in Computational Data Science, Computer Science, Electrical/Computer Engineering, or related fields. Experience in a professional environment, including prior internship experience is preferred. Expertise in the latest Large Language Models (LLMs) and AI advancements. Proactive in staying updated with evolving AI trends and new LLM releases. Skilled at diagnosing and solving complex, ambiguous problems with curiosity and a product-focused mindset. Strong communication and presentation skills, able to convey complex analysis clearly and actionably. Proven expertise in implementing and fine-tuning generative AI LLMs, with strong NLP knowledge including embeddings, GPT, and Transformer models. Familiarity with cloud computing and AI deployment on AWS or Google Cloud. Solid foundation in deep learning, machine learning, statistics, and optimization from coursework or practical experience. Proficient in Python & C++/Java programming through academic or work experience.

Collaborate with stakeholders to identify new AI opportunities and create intelligent AI applications. Lead MVP development using a test-and-learn approach with cross-functional teams. Iterate from problem framing to prototyping and deploying production-grade solutions. Deliver reliable, scalable AI features in production. Build prototypes and develop data pipelines for deployment. Experiment with generative LLMs to create and enhance generative applications using prompts and user feedback. Clearly communicate efforts and impact to both technical and business audiences.