Applied AI Intern - Summer

Position: Applied AI Intern - Summer 2026
Collaborate with the AI Hub data science team to design and implement specific components of the AI Hub platform. Assist in data collection, cleaning, and preprocessing tasks to improve Retrieval Augmented Generation (RAG) and function/tool calling processes in support of complex Generative AI projects. Run a scoped pilot to fine-tune foundation models using curated, compliant datasets, evaluate performance against defined metrics, and integrate learnings into AI Hub's platform workflows.

Contribute to UI/UX redesign of the AI Hub platform and suggest specific UI changes to existing AI products to enhance usability and visualization of orchestration workflows. Document and communicate findings, insights, and recommendations to stakeholders. Currently enrolled MS or PhD students in Computer Science, Engineering, Statistics, or related fields, with a strong academic record. Strong understanding of machine learning concepts and algorithms, including deep learning, transformer‑based systems, embedding models, vector databases, etc.

Hands-on experience or academic/project exposure to GenAI orchestration frameworks (e.g., Lang Chain, Lang Graph) and AI agent communication concepts (e.g., MCP). Experience fine-tuning language models such as GPT or BERT Experience developing in cloud platforms, like Azure and/or Databricks. Knowledge of distributed computing frameworks, such as Apache Spark. Familiarity with data engineering concepts and practices. Strong communication skills for effective collaboration across teams Ability to work independently in a dynamic, fast-paced environment