AI & Knowledge Graph Engineer (Neuro-Symbolic Reasoning)

The Umanitek Guardian Agent protects people from deepfakes and digital impersonation by combining Decentralized Knowledge Graphs (DKG) with perceptual intelligence. If you’re excited by the idea of building resilient infrastructure and operational systems for agents that reason, not just predict, you’ll feel right at home.

As an AI & Knowledge Graph Engineer, you’ll work at the frontier of neuro-symbolic AI, bridging deep learning with structured knowledge reasoning. You’ll be responsible for building and maintaining our product – the Umanitek Guardian agent network, an AI system protecting humans from deepfakes through the use of the Decentralized Knowledge Graph (DKG) and perceptual intelligence. Your focus will be to research and apply various neuro-symbolic reasoning capabilities, combining Knowledge graph reasoning, vector search, perceptual hashing, and others into a unified intelligence system.

Responsibilities:

• Co-define the engineering culture of Umanitek and help build out the team of first hires 
• Develop and optimize hybrid reasoning systems combining Knowledge Graphs, LLMs, embedding search, and symbolic reasoning
• Integrate perceptual hashing and similarity search algorithms for image/video discovery
• Build and utilize the Guardian network DKG (RDF, SPARQL, SHACL) for neuro-symbolic reasoning
• Build and test MCP tools enabling Guardian’s AI to safely query other Guardian Agents on the Guardian Network
• Measure and improve reasoning performance, interpretability, and knowledge recall
• Ensure scalability of the Guardian knowledge base

Technical experience that is most relevant to us:

• Strong background in data engineering
• Experience with knowledge graphs, particularly RDF, SPARQL, OWL, and reasoning approaches
• Experience with LLMs, embeddings, or reasoning systems (LangChain, Semantic Kernel, etc.)
• Understanding of perceptual hashing (pHash, aHash, dHash) and multimedia similarity search

Tech Stack and Tools:

DKG Node, Nodejs,Python, PyTorch, HuggingFace, LangChain, Qdrant/Weaviate/Milvus, OpenAI API, RDFLib, GraphDB, SPARQL, FAISS, TensorFlow, FastAPI, Docker, GitHub Actions, OriginTrail DKG SDKs, MCP Framework

Why Umanitek

We’re early, lean, and ambitious.
You’ll work directly with founders and researchers behind OriginTrail and Umanitek, building the foundation of AI safety infrastructure used by public institutions, enterprises, and individuals.
If that sounds like your kind of hard – come build with us.

We offer a market-aligned salary, participation in employee stock option pool and of course growth into companies’ leadership positions

If on interest please send your CV directly to this e-mail: [email protected] or via our website

On site presence is requested a few times per week, as needed.