AI & Knowledge Graph Engineer

The Umanitek Guardian Agent protects people from deepfakes, identity abuse, and coordinated harmful narratives by combining Decentralized Knowledge Graphs (DKG) with graph-native risk intelligence. If you’re excited by building resilient data infrastructure and operational systems for agents that reason over verifiable evidence, not just predict from black-box signals, you’ll feel right at home.

As an AI & Knowledge Graph Engineer, you’ll work at the frontier of neuro-symbolic AI, connecting LLM-assisted analysis with structured graph reasoning and provenance. You’ll be responsible for building and evolving our core product – the Umanitek Guardian pipeline and agent network – an AI system that protects humans from deepfakes and impersonation by grounding intelligence in RDF knowledge graphs. Your focus will be to design and apply hybrid reasoning capabilities, combining SPARQL-driven graph logic, risk scoring, entity resolution, embedding similarity, and media analysis into one coherent threat-detection system.

Responsibilities

• Develop and optimize hybrid reasoning systems combining Knowledge Graphs, LLMs, embedding search, and symbolic reasoning
• Build and evolve the Guardian stack (RDF, SPARQL, provenance modeling, schema/ontology design) for neuro-symbolic reasoning
• Build and test data collection tools enabling Guardian’s AI analysis system to securely process data from multiple data 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 harmful content discovery and tracking
• Integrate perceptual hashing and similarity search algorithms for image/video discovery
• Ensure scalability, data quality, and operational reliability of the Guardian knowledge base and orchestration pipeline

Technical experience that is most relevant to us

• Strong background in data engineering and production ETL/pipeline systems
• Knowledge graphs, particularly RDF, SPARQL, Blazegraph, and reasoning approaches
• Experience with AI and LLMs (frontier or local models), embeddings, or reasoning systems
• Comfortable navigating Python’s async/typing & multithreading ecosystem (FastAPI, pytest, pandas)
• Graph algorithms: PageRank, community detection, entity resolution, similarity search
• Production pipelines & ETLs with diverse integrated technologies – Python, FastAPI, Redis, S3, Docker, GraphDB, APIs & SDKs
• Bonus: OriginTrail DKG & blockchain

Tech Stack and Tools

Python, Node.js, PyTorch, HuggingFace, LangChain, RDFLib, GraphDB, Blazegraph, SPARQL, spaCy, EasyOCR, OpenCV, FastAPI, Redis, Docker, MCP

Why Umanitek

We’re early, lean, and ambitious.

You’ll work directly with founders and researchers behind Umanitek and OriginTrail, 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 growth into the company’s leadership positions.

Send your CV directly to this e-mail: [email protected]