Senior AI Knowledge Graph Engineer
Pure Storage · Prague, Czech Republic · Engineering
About this role
Pure Storage is hiring a senior-level AI Engineer in the machine learning function based in Prague, Czech Republic. The posting calls out experience with Python, Docker, LLMs, MLOps.
- Role
- AI Engineer
- Function
- machine learning
- Level
- senior
- Track
- Individual contributor
- Employment
- Full-time
- Location
- Prague, Czech Republic
- Department
- Engineering
More roles at Pure Storage
Job description
from Pure Storage careersWe’re in an unbelievably exciting area of tech and are fundamentally reshaping the data storage industry. Here, you lead with innovative thinking, grow along with us, and join the smartest team in the industry.
This type of work—work that changes the world—is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us.
THE ROLE
Our Senior Applied AI Engineer builds and operate production-grade AI systems that extract meaning from large-scale unstructured document collections, enabling enterprise data discovery classification, and governance.
This role owns the full lifecycle of graph intelligence solutions — from problem definition and data modelling, to building and enriching knowledge graphs, and deploying ML- and LLM-assisted analytics in production. The focus is on semantic and contextual analysis of unstructured data to uncover relationships, patterns, and insights that support AI safety, security, and compliance requirements.
WHAT YOU'LL DO
- Design, build, and deploy graph-based AI solutions, combining knowledge graphs, LLMs, and ML models applied to large-scale unstructured data
- Define and own data pipelines that extract, transform, and enrich entity relationships into production-grade knowledge graphs
- Integrate LLMs and ML models into text processing pipelines for classification, embedding generation, document similarity, and semantic analysis