Founding AI Engineer Intern

About the Role

Vetifi is building an AI-powered veterinary clinical intelligence platform designed to support symptom understanding, differential diagnosis, clinical questioning, emergency detection, diagnostic guidance, treatment information, prognosis, and prevention.

We are looking for a Founding AI Engineer Intern who wants to work on a real AI product from an early stage and take ownership across the complete AI development lifecycle. This is not a basic chatbot or prompt-writing internship. You will work on structured veterinary knowledge, LLM pipelines, clinical reasoning, retrieval, scoring, evaluation, and production AI systems.

Responsibilities

• Build LLM and NLP pipelines for extracting structured knowledge from veterinary books.
• Develop clinical knowledge graphs, ontologies, and feature-value structures.
• Create source-grounded retrieval and response-generation systems.
• Build deterministic disease-ranking and clinical-scoring algorithms.
• Design intelligent follow-up question generation.
• Develop hallucination, omission, contradiction, and evaluation mechanisms.

What You'll Need

• Strong foundational knowledge in LLMs, NLP, and Knowledge Systems.
• Ability to work on structured data extraction, clinical knowledge graphs, and ontologies.
• Understanding of retrieval systems, scoring algorithms, and evaluation frameworks.
• Eagerness to take ownership across the complete AI development lifecycle.

Resume Tip

Highlight your practical experience building LLM/NLP pipelines, knowledge graphs, or retrieval-augmented generation systems, emphasizing ownership and production evaluation methods.