Knowledge Graph Engineer

Are you a Knowledge Graph Engineer expert in Knowledge Graphs & Ontology Engineering ?

We are Reply , and we are looking for you!

WHO WE ARE

Reply is a company that specialises in Consulting, Systems Integration and Digital Services with a focus on the conception, design and implementation of solutions based on the new communication channels and digital media. Reply partners with key industrial groups in defining and developing business models made possible by the new technological and communication paradigms such as Artificial Intelligence, Big Data, Cloud Computing, Digital Communication, the Internet of Things and Mobile and Social Networking.

WHAT WILL YOU DO?

• Core activities . You will Sesign and evolve domain ontologies and graph schemas that represent enterprise knowledge as a governed, versioned asset. You will implement and maintain the Knowledge Layer with native versioning, change tracking, and auditability. You will model semantic relationships and structured metadata to support deterministic, decision-ready retrieval and you will build graph-based retrieval mechanisms optimized for traversal, conflict resolution, and temporal validity.
• Technologies . Neo4j, Amazon Neptune, TerminusDB, Cypher, SPARQL, RDF, OWL.
• Team work . You will work closely with AI Engineers, backend developers, and solution architects to align the Knowledge Graph with ingestion pipelines, AI-assisted enrichment, and enterprise workflows. Collaboration is key to ensure the graph remains the authoritative source of truth across the platform.

WE'LL TOTALLY LOVE YOU IF YOU HAVE…

• Academic background . Degree in Computer Science, Engineering, Data Science, or a related technical field.
• Valuable expertise . Hands-on experience designing and operating production-grade knowledge graphs;
  Strong background in ontology design, semantic modeling, and governed data structures;
  Experience with versioning strategies, temporal modeling, and audit trails in data systems.
• Nice to have . Exposure to regulated or compliance-heavy enterprise environments;
  Familiarity with GraphRAG or hybrid retrieval patterns combining graphs and other data stores;
  Experience contributingto open-source or standards-driven projects.
• Soft skills . Strong analytical mindset and attention to semantic precision;
  Ability to reason aboutcomplex domains and translate them into clear models;
  Ownership, curiosity, and a “why this matters” attitude toward building trustworthy AI systems.

YOU WILL LOVE WORKING WITH US BECAUSE…

• We have a start-up heart . Hundreds of small units with their own projects and teams. Guaranteed hands-on experience, flexibility, table footballs and free coffee.
• But we dream worldwide . We have the structure to make your ideas matter. We partner with major groups over 4 continents and 15 countries.
• We are customers-obsessed . Excellence is in our DNA. We strive for the best. We get our hands dirty. We get results.
• We are learning . We at Reply are always aiming for true innovation. Even though it still may look unreal.

WHAT ARE THE NEXT STEPS

The first step of our recruiting process will be the meetings with the technical referents and then a face to face interview with the HR team. We care about an equal recruiting process.

Feel interested?

Reply is committed to embracing diversity and creating an inclusive work environment by valuing the uniqueness of people regardless of age, gender, sexual orientation, religion, nationality, or disabilities as protected by Italian Law (L.68/99).

Furthermore, Reply is committed to ensuring a fair and accessible selection process: to help you during the recruitment process, please let us know of any kind of support you may need.