Intern, Information Tech

The Chronicle • Washington, DC

6d • Onsite

About The Position

The AI/LLM Development Intern will join the engineering team to accelerate projects involving Generative AI, Large Language Models, and Agentic AI frameworks. The intern will work closely with engineering and editorial teams on the continuing development of an AI/LLM driven solution to identify patterns and trends in higher ed data sets.

Requirements

• Current pursuit of a Bachelor’s, Master’s, or PhD in Computer Science, Artificial Intelligence, Data Science, or related field.
• Strong proficiency in Python and experience with AI orchestration frameworks (e.g., LangChain, Semantic Kernel, or AutoGen).

Nice To Haves

• Experience working with RESTful APIs and modern data structures (JSON, SQL, NoSQL)
• Experience with vector databases (ChromaDB, Pinecone, Milvus).
• Familiarity with deep learning libraries like PyTorch, TensorFlow, or JAX.
• Hands-on experience or academic projects working with OpenAI APIs, Hugging Face Transformers, or open-source LLMs (Llama, BERT).
• Familiarity with enterprise integrations – connection of LLMs to existing backend systems.

Responsibilities

• Build, test, and deploy applications using frameworks like LangChain, LangGraph, or CrewAI to automate tasks.
• Develop and optimize Retrieval-Augmented Generation systems to connect LLMs with internal, proprietary, or external data sources.
• Assist in fine-tuning state-of-the-art LLMs, running experiments, and evaluating model performance using metrics for helpfulness and safety.
• Implement techniques such as quantization (INT8/FP8), KV cache optimization, or flash attention to optimize inference latency and throughput.
• Develop and configure "skills" or "plugins" that allow AI agents to interact directly with internal APIs, databases, and GTM tools (e.g., Clay, Salesforce, Slack) to perform tasks such as updating account plans or triggering renewal sequences.
• Identify manual bottlenecks in the customer lifecycle and architect end-to-end automated solutions that integrate disparate data sources (Product, CRM, Support) into a unified execution layer.

What This Job Offers

• Career Level: Intern