🌐 Welcome to TANITAI

Tanit AI is a healthcare technology startup pioneering neuro-symbolic AI to transform fertility and reproductive medicine. In a world where 1 in 6 people are affected by infertility, our mission is to elevate fertility practice for doctors and empower patients in their parenthood journey

➡ Mission

At Tanit AI, our mission is to leverage advanced artificial intelligence to educate and support individuals in their fertility journey.

We strive to provide accessible, personalized information and guidance to help people make informed decisions about their reproductive health.

➡ Vision

Our vision is to be a global leader in AI-driven fertility education, fostering a future where technology and human understanding converge to address critical reproductive health challenges. We aim to empower individuals worldwide with the knowledge and tools needed to navigate their fertility journey with confidence.

Role Description

We are seeking a Generative AI Intern with expertise in Agentic AI, LangChain, LangGraph, and GraphRAG architectures.

You will design intelligent agent workflows, integrate tool-using models, and build graph-aware reasoning systems that power Tanit AI’s clinical decision-support assistant.

Key Responsibilities

• 🧩 Develop multi-agent systems using LangGraph, CrewAI, or custom orchestrators.
• 🔗 Implement GraphRAG pipelines integrating Neo4j and vector stores for retrieval and reasoning.
• 🧠 Build custom tools and MCP (Model Context Protocol) integrations to extend agent capabilities.
• 🧬 Optimize context injection, memory retrieval, and entity-linking workflows.
• 📈 Collaborate with data engineers to align embeddings, graph schema, and retrieval logic.
• 🧾 Design evaluation and monitoring pipelines for reasoning accuracy and tool usage performance.

Required Skills

• 🔗 LangChain / LangGraph / CrewAI
• 🤖 OpenAI / Azure OpenAI / Anthropic APIs
• 🗄️ Neo4j and Cypher
• 🔍 Vector databases (FAISS, Pinecone, Weaviate)
• 🐍 Python, FastAPI, asyncio
• 📚 Knowledge of RAG architectures, agent frameworks, and embedding strategies