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Зарплата не указанаСовременный стекЧёткие задачиСильный пакет льготИИ для устойчивого развитияТолько Испания
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Текст:
Hirify AI/Оригинал
TL;DR
Senior Knowledge Graph Engineer (AI): Building high-throughput GraphRAG ingestion pipelines, operational knowledge graphs, and entity-resolution systems for sustainability data with an accent on semantic federation, graph databases, and autonomous AI agents. Focus on optimizing multi-hop queries, integrating vector and graph search, implementing SHACL validation, and exposing graph tooling through MCP endpoints.
Location: Hybrid in Barcelona, with 2 days per week in the office, or fully remote from Spain. Candidates must be eligible to work and live in Spain.
Company
hirify.global provides business sustainability ratings, sustainability scorecards, and technology for assessing environmental, social, and ethical risks.
What you will do
Design, implement, and maintain high-throughput GraphRAG ingestion pipelines for relational data, ESG reports, and streaming feeds.
Build entity extraction, entity linking, deduplication, and entity-resolution workflows for vendor, product, and facility data.
Integrate internal supply chain data with external ontologies, registries, sensor standards, geospatial alerts, and provenance models.
Develop low-latency GraphRAG retrieval layers, optimized Cypher and SPARQL queries, NL2Query tools, hybrid vector-graph indexes, and MCP endpoints for AI agents.
Implement SHACL-based data quality validation in CI/CD pipelines and prevent invalid graph mutations.
Optimize graph partitioning, indexing, and multi-hop traversal performance across billions of nodes and edges.
Requirements
4+ years of production experience building and querying graph databases, including Neo4j, Memgraph, TigerGraph, or RDF triple stores.
Advanced Python skills for scalable production data pipelines, including RDFLib, NetworkX, or PyGraphistry.
Strong cloud experience, preferably with Azure, Azure Foundry, Azure Bicep, AzureML, and Azure Cloud Storage.
Experience with NLP or LLM-based entity extraction, dbt, vector stores, and hybrid search architectures.
Strong knowledge of RDF, RDFS, OWL, SKOS, SHACL, RDF-star, SPARQL, T-Box/A-Box separation, RML, and R2RML.
Must be eligible to work and live in Spain.
Nice to have
Experience with supply chain, carbon accounting, GHG Protocol, or lifecycle assessment data.
Direct experience building MCP servers for LLM agents.
Experience with enterprise OBDA approaches at scale.
Culture & Benefits
Flexible working hours with hybrid and remote work options within Spain.
Office and IT equipment support, hybrid electricity and internet allowance, and a remote work from abroad policy.
Wellness allowance, professional mental health support, dental benefits, life and accident insurance, and private health insurance.
Learning and development opportunities, sustainability events, community involvement, employee resource groups, and peer recognition.
Paid volunteer and personal days, a paid moving day, summer hours in July and August, and meals and transportation vouchers.
Hiring process
Submit a CV in English; every application receives a response.
Interview accommodations are available for candidates who need them.
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