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.