Founding AI Engineer Intern — LLMs, NLP & Knowledge Systems About Vetifi 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.

What You Will Work On

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 evidence-validation checks.

Normalize veterinary symptoms, diseases, tests, treatments, and terminology.

Build evaluation datasets and measure AI accuracy, completeness, and reliability.

Integrate AI services with Vetifi’s backend and mobile applications.

Experiment with embeddings, vector databases, graph databases, and different LLMs.

Write scalable, reusable, well-tested Python code.

Document technical decisions and contribute to the long-term AI architecture.

What We Are Looking For Must have

Strong Python programming skills.

Experience working with APIs, JSON, data processing, and backend logic.

Understanding of LLMs, NLP,



machine learning, or information retrieval.

Ability to independently build and debug working systems.

Familiarity with Git and GitHub.

Strong problem-solving ability and attention to detail.

Ability to commit consistently for three months. Good to have

Experience with LLM APIs, structured output, function calling, or prompt engineering.

Understanding of RAG, embeddings, vector databases, or semantic search.

Experience with knowledge graphs, ontologies, Neo4j, RDF, or graph modelling.

Familiarity with Pydantic, FastAPI, LangChain, LlamaIndex, or similar tools.

Experience with model evaluation, hallucination detection, or AI guardrails.

Interest in healthcare, veterinary medicine, biology, or clinical AI. Veterinary knowledge is helpful but not mandatory.

Internship

Details

Duration: 3 months

Mode: Remote

Commitment: Approximately 15–20 hours per week

Stipend: Unpaid during the initial internship period

Opportunity: High-performing candidates may be considered for a paid internship extension or full-time role, depending on performance and business requirements What You Will Gain

Ownership of important parts of a real AI product.

Experience across LLMs, NLP, RAG, knowledge graphs, evaluation, and AI system design.

Direct collaboration with the founding team.

Internship certificate and experience letter after successful completion.

Prospect for a paid extension or full-time conversion based on performance.

Ability to showcase non-confidential work in your portfolio.

Who Should Apply

Apply if you enjoy building complete AI systems, not just experimenting with prompts. You should be comfortable converting unclear problems into working code, testing your own assumptions, and improving systems through repeated evaluation.

📌 Founding AI Engineer Intern (Bengaluru)
🏢 Vetifi
📍 Bengaluru