AI Knowledge & Memory Engineer

Job Description

We are looking for an engineer to work on knowledge modules, persistent memory and intelligent documentation of Nexum products. The role will contribute to building knowledge bases, technical wikis, dependency graphs, RAG systems, contextual memory and tools for preserving and querying business and project context. Tech Stack: Python, TypeScript, PostgreSQL, vector DB, embeddings, GraphRAG, Neo4j/NetworkX, Markdown automation, LlamaIndex/LangGraph. Key Responsibilities: - Design and implement intelligent knowledge bases and technical wikis - Build dependency graphs and contextual memory systems - Develop advanced RAG systems with GraphRAG - Integrate vector DBs and embedding systems - Create tools for preserving and querying business context - Automate technical and project documentation This job posting is addressed to both genders, in compliance with laws 903/77 and 125/91 on equal treatment in the workplace and against gender discrimination. We welcome candidates of all ages and nationalities, in accordance with legislative decrees 215/03 and 216/03. Nexum also encourages applications from people with disabilities, in compliance with current regulations.

What You Bring

• Knowledge Systems

  Experience with knowledge bases, graphs, RAG and AI memory systems

• Graph & Vector DB

  Neo4j, NetworkX, GraphRAG, vector DB, embeddings

• Tech Stack

  Python, TypeScript, PostgreSQL, LlamaIndex/LangGraph

• Intelligent Documentation

  Markdown automation, technical wikis, context systems