Senior AI Knowledge Graph Engineer

📋 Description Design, build, deploy graph-based AI solutions using knowledge graphs and LLMs. Own data pipelines to extract, transform, and enrich entity relationships into knowledge graphs. Integrate LLMs/ML into text pipelines for classification, embeddings, and semantic analysis. Design, deploy, and operate graph and vector databases for retrieval and analytics. Optimize models and inference pipelines for latency, throughput, and cost. On-site role; work from Prague office. 🎯 Requirements Proven experience in developing and deploying production knowledge graphs. Hands-on ML/LLM development with prompt engineering for production. Proficient in Python and KG tools (Neo4j, NetworkX, Node2Vec, SentenceTransformers). Graph algorithms, ontology modeling, and graph analytics. Design modular, testable ML code in a collaborative environment. Experience with MLOps and Docker images for production systems. Experience collaborating with engineers, PMs, and stakeholders. Strong communication; explain ML concepts and system behavior clearly. 🎁 Benefits Innovation: opportunities to challenge yourself. Growth: space to grow and contribute meaningfully. Team: collaborative, ego-free culture.