Remote Europe: Neuro-Symbolic AI & Knowledge Graph Engineer

Talentium AB; Zug; Vor Ort; CHF 84.000 - 141.000; Vollzeit

Zusammenfassung

Umanitek is at the frontier of neuro-symbolic AI, building systems to protect humans from deepfakes and impersonation. We seek an AI & Knowledge Graph Engineer to develop hybrid reasoning systems, design an RDF/SPARQL-centric Guardian stack, and orchestrate data pipelines at scale.

You will work on embedding similarity, LLM integration, and perception of threats across diverse data sources, ensuring scalable, reliable performance in a remote European setting.

Qualifikationen

• Experience in Knowledge Graphs and Multi-Agent Orchestration with strong AI capabilities directly related to KG enrichment or multi-agent systems.
• Deep expertise with RDF, SPARQL, and advanced reasoning; Blazegraph experience highly valued.
• Proficiency with AI/LLMs, embeddings, or reasoning systems in KG contexts.
• Comfort navigating Python’s async, typing, and multithreading ecosystems (FastAPI, pytest, pandas).

Aufgaben

• Develop and optimize hybrid reasoning systems combining Knowledge Graphs, LLMs, embeddings, and symbolic reasoning.
• Build and evolve the Guardian stack (RDF, SPARQL, provenance modeling, schema/ontology design) for neuro-symbolic reasoning.
• Create data collection tools enabling Guardian’s AI analysis to securely process data from multiple sources at scale.
• Measure and improve risk scoring, graph reasoning quality, and end-to-end detection performance.
• Design efficient SPARQL queries and graph patterns for threat discovery, author reputation, and coordinated attack detection.
• Integrate media-analysis capabilities (image/video processing, OCR, similarity signals) for detection and tracking.

Kenntnisse

Knowledge Graphs

Multi-Agent Orchestration

AI for KG

LLMs & embeddings

Python (async/typing)

SPARQL & RDF

Tools

RDFLib

GraphDB

Blazegraph

SPARQL

APIs & SDKs

Jobbeschreibung

Umanitek is at the frontier of neuro-symbolic AI, building systems to protect humans from deepfakes and impersonation. We seek an AI & Knowledge Graph Engineer to develop hybrid reasoning systems, design an RDF/SPARQL-centric Guardian stack, and orchestrate data pipelines at scale.

You will work on embedding similarity, LLM integration, and perception of threats across diverse data sources, ensuring scalable, reliable performance in a remote European setting.