Senior AI Knowledge Graph Engineer
Core
Build and operate production-grade AI systems that extract meaning from large-scale unstructured document collections to enable enterprise data discovery, classification, and governance.
Role type
Senior Applied AI Engineer (Knowledge Graphs & LLMs)
Builds
Production-grade knowledge graphs, ML/LLM-assisted analytics pipelines, and graph/vector databases for enterprise data.
Domain
Data storage industry, unstructured data processing, AI safety, security, and compliance.
Deliverable
production ML models | product features | infrastructure
Required skills
Knowledge graph development and deployment, LLM and text-based ML system development, Python, graph algorithms and ontology modelling, MLOps practices, vector database design, production system optimization.
Preferred skills
Prompt context engineering, Docker image building, collaborative software engineering.
Technologies
Neo4j, NetworkX, Node2Vec, SentenceTransformers, Docker.
Responsibilities
Design and deploy graph-based AI solutions combining knowledge graphs and LLMs; define and own data pipelines for entity relationship extraction; integrate LLMs for classification and semantic analysis; design and operate graph and vector databases; optimize models for latency and throughput; drive architectural decisions for applied AI solutions.
Seniority
Senior, hands-on IC with architectural ownership.