AI Engineer (f/m/d) – Knowledge Graphs & Large Language Models
You’re passionate about Artificial Intelligence and love working at the intersection of structured knowledge representation and cutting-edge language models? You want to contribute to innovative projects with real business impact?
Then become part of our AI team at digatus – and help us build the intelligent systems of tomorrow.
Your future team and working environment
As part of our interdisciplinary AI & Data team, you'll work closely with data scientists, software engineers and domain experts. Together, you’ll design and implement advanced, context-aware AI applications that connect Knowledge Graphs and Large Language Models (LLMs) into powerful business tools.
What to expect:
Knowledge Graph Engineering – Design, implementation and maintenance of Knowledge Graphs (e.g. with Neo4j)
Graph Modeling – Mapping complex data relationships in graph databases, optimizing Cypher queries
ETL & Data Integration – Building and maintaining pipelines to integrate data from heterogeneous sources
LLM Integration & RAG Systems – Developing Retrieval-Augmented Generation (RAG) pipelines and integrating Knowledge Graphs as context providers for LLMs
Graph ↔ Text Transformation – Enabling intelligent two-way conversion between structured graph data and natural language
Software Engineering – Developing APIs, microservices and vector embedding modules for semantic search
Performance & Monitoring – Continuously optimizing and monitoring AI systems for quality and reliability
What you bring:
Technical Expertise – Strong skills in Neo4j, Cypher, APOC and programming experience in Python, JavaScript/TypeScript or Java
AI/ML Knowledge – Hands-on experience with Large Language Models (GPT, Claude, Llama etc.) and frameworks like LangChain, LlamaIndex, Hugging Face
Graph Technology – Familiarity with RDF, SPARQL, OWL and ideally Graph Neural Networks
Vector Databases – Experience with Pinecone, Weaviate or Chroma
NLP & Semantics – Understanding of Natural Language Processing, semantic search, and embedding models
Education & Experience – Degree (BSc/MSc) in Computer Science, Data Science, AI/ML or similar field and 3+ years of experience in AI/ML projects, including at least 1 year in Knowledge Graphs
Languages – Excellent English skills required; German language skills are a plus
Mindset – Structured, collaborative, communicative and proactive personality
What we offer:
Innovation & Impact – Work on real AI applications with measurable business value
Modern Tech Stack – Access to powerful computing environments and the latest ML/AI frameworks
Freedom to Explore – Space for research, experimentation and publication of new Graph+LLM approaches
Team Culture – Agile workflows (Scrum/Kanban), flat hierarchies and collaboration on equal footing
Hybrid Work Model – Flexible working hours, remote options and a well-equipped office in Wrocław
Learning & Development – Individual trainings, certifications, conference participation in the AI/ML field
About digatus
We are a dynamic IT group specializing in digital transformation, software engineering and IT staffing. Our interdisciplinary teams combine technical expertise with business mindset – to deliver future-ready solutions in the digital space.
📩 Ready to apply?
Send us your CV (no cover letter needed) – we’re excited to hear from you, even if you don’t meet every single requirement.
AI Engineer (f/m/d) – Knowledge Graphs & Large Language Models
AI Engineer (f/m/d) – Knowledge Graphs & Large Language Models