Data Scientist - AI with Neo4J
Indexed description
Your Role And Responsibilities
Design and deliver an MVP that integrates an agentic chatbot into an existing application.
The chatbot will leverage a company‑owned Large Language Model (LLM) and be capable of autonomously executing a set of predefined tools(e.g., data retrieval, workflows, system actions) to support business use cases.
The role involves working across backend services, knowledge representation, and AI orchestration to ensure the chatbot provides accurate, context‑aware, and actionable responses.
You will collaborate closely with engineering and product stakeholders to define capabilities, ensure secure integration, and deliver a scalable foundation beyond the MVP.
Preferred Education
Master's Degree
Required Technical And Professional Expertise
- Experience working with Neo4j and graph‑based data modeling. Hands‑on knowledge of Graph RAG (Retrieval‑Augmented Generation) patterns, including linking LLMs with graph knowledge bases
- Experience integrating LLMs into existing systems, including tool invocation and prompt orchestration
- Ability to design, implement, and validate MVP solutions with a focus on reliability and extensibility
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