Senior Knowledge Graph Platform Engineer — GCP & AI Integration

Ignite the future of enterprise AI — build scalable, intelligent Knowledge Graph platforms with cutting-edge cloud and LLM integration!

Krakow-based opportunity with hybrid work model (up to 3 days remote per week).

As a Senior Knowledge Graph Platform Engineer, you will be working for our client, a leader in enterprise data solutions. You will help design, build, and operate advanced Knowledge Graph capabilities across the organization, leveraging the latest in LPG and RDF ecosystems, cloud platform engineering, and AI-enabled retrieval and reasoning techniques. Join a team committed to innovation, scalability, and delivering impactful data-driven solutions.

Your main responsibilities:

Architect, build, and maintain end-to-end graph platform lifecycle — from design, deployment, to operational excellence

• Create and optimize graph data models based on LPG and RDF standards, including ontology and schema governance
• Develop and manage production-grade ingestion pipelines (batch and streaming), ensuring data quality and lineage practices
• Ensure high availability, security, and observability of the platform on GCP, adhering to SRE best practices
• Define engineering standards for performance tuning, query optimization, scalability, and cost control
• Collaborate with cross-functional teams—product, data, architecture, security—to deliver reusable graph platform services
• Implement AI-powered retrieval and reasoning workflows using LLMs, RAG, and GraphRAG for real-world business use cases
• You're ideal for this role if you have:3+ years of experience in database and data platform engineering with a focus on graph database implementation
• Proven expertise working with LPG stack: Cypher/Gremlin, Neo4j, FalkorDB, Janus
• Graph, or similar platforms
• Hands-on experience with RDF stack: SPARQL, GraphDB, Stardog, Blazegraph, Neptune RDF, or similar
• Deep understanding of graph standards and modeling including RDF, RDFS, OWL, SHACL, and ontology governance
• Practical experience delivering solutions on GCP (GKE, Cloud Run, Dataflow, Big
• Query, Cloud Storage, IAM, monitoring)

Experience integrating LLMs into enterprise systems, with proficiency in embeddings, vector/hybrid retrieval, GraphRAG workflows

Strong software engineering skills in Python, Java, Scala, or Node.js, including API development, CI/CD, and IaCIt is a strong plus if you have:

Experience designing multi-tenant platforms and platform productization

• Familiarity with model evaluation, responsible AI practices, and guardrails
• Knowledge of Kubernetes operators, GitOps, and advanced observability tools
• Exposure to FinOps, capacity planning, and cloud cost optimization for high-memory workloads
• Language Required for the role:

Good command of English — communicative proficiency

Eligibility to work in Europe:

Only candidates with an existing legal right to work in the European Union will be considered for this role.#MAKE

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