Senior Knowledge Graph Engineer — AI-Driven GraphOps

EcoVadis Inc; Warszawa; Hybrid; PLN 180,000 - 260,000; Full time

Benefits offered by this job

Hybrid work

Wellness allowance

Lunch card

Multisport card

Remote work policy

Health care option

Life insurance

Learning and development

Sustainability events

Referral bonus

Job summary

EcoVadis Inc. is seeking a hands-on Senior Knowledge Graph Engineer to operationalize ontologies into high-throughput graph systems within our AI Center of Excellence.

You will enable autonomous AI agents addressing sustainability challenges by linking unstructured disclosures to graph databases. You will build GraphRAG ingestion pipelines, entity resolution workflows, and semantic federation with external ontologies, while collaborating with AI/ML engineers on NL2Query tooling and low-latency

Qualifications

• 3+ years building and querying graph databases.
• Strong Python experience for data pipelines.
• Experience with NL2Query tools and agent tooling.
• Knowledge of semantic web standards (RDF/OWL/SHACL).
• Cloud experience (Azure) and data provenance concepts.
• Familiarity with data-merging and ETL/ELT processes.

Responsibilities

• Design, implement, and maintain high-speed GraphRAG ingestion pipelines.
• Build NER, entity linking, and deduplication workflows for canonical nodes.
• Federate internal data with external ontologies (GLEIF, PROV-O, etc.).
• Develop NL2Query and tooling to support autonomous agents.
• Optimize multi-hop queries and graph indexing for sub-second performance.
• Operationalize SHACL tests in CI/CD to ensure data quality.

Skills

Graph databases

Python

Entity resolution

NER & linking

Cypher & SPARQL

ETL/ELT pipelines

NLP frameworks

LangChain / LlamaIndex

RDF/OWL/SHACL

Azure cloud

Education

Bachelor's degree in Computer Science or related field

Tools

Neo4j

Memgraph

TigerGraph

GraphDB

Stardog

Virtuoso

dbt

Qdrant

Pinecone

pgvector

LangChain

spaCy

RDFLib

NetworkX

Cypher

SPARQL

Job description

EcoVadis Inc. is seeking a hands-on Senior Knowledge Graph Engineer to operationalize ontologies into high-throughput graph systems within our AI Center of Excellence.

You will enable autonomous AI agents addressing sustainability challenges by linking unstructured disclosures to graph databases. You will build GraphRAG ingestion pipelines, entity resolution workflows, and semantic federation with external ontologies, while collaborating with AI/ML engineers on NL2Query tooling and low-latency