Senior AI/Data Engineer: GraphRAG & Knowledge Graphs

SKMgroup; Kraków; On-site; PLN 120,000 - 150,000; Full time

Benefits offered by this job

Remote-first working culture

Company apartments in cool cities across Europe

Job summary

SKMgroup is seeking a Senior AI/Data Engineer to join its team in Kraków, Poland. This role involves building production-grade data and AI-enabled systems with a focus on GraphRAG architecture and knowledge graph modeling. You will design and implement systems leveraging graph databases to power next-generation AI applications.

Ideal candidates should have extensive experience in Python backend or data engineering and a deep understanding of AI engineering. The position offers a remote-first working culture and the opportunity to make a real impact in a collaborative environment.

Qualifications

• Extensive commercial experience in Python backend or data engineering at a senior level.
• Proven expertise in graph data modeling and working with databases like Neo4j or Cosmos DB.
• Deep understanding of AI engineering, specifically RAG pipelines and embeddings.

Responsibilities

• Design and develop scalable data pipelines and backend services using Python.
• Architect and maintain knowledge graph solutions, including complex relationship mapping.
• Implement advanced GraphRAG pipelines combining knowledge graphs, vector search, and LLM-based retrieval.

Skills

Python backend or data engineering

Graph data modeling

AI engineering

Neo4j or Cosmos DB

Scalable architectures

REST APIs

React

Next.js

Tools

GraphRAG architecture

Vector databases

Azure AI Search

Semantic Search

MCP server/client

LangChain

LangGraph

LLMs

Job description

SKMgroup is seeking a Senior AI/Data Engineer to join its team in Kraków, Poland. This role involves building production-grade data and AI-enabled systems with a focus on GraphRAG architecture and knowledge graph modeling. You will design and implement systems leveraging graph databases to power next-generation AI applications.

Ideal candidates should have extensive experience in Python backend or data engineering and a deep understanding of AI engineering. The position offers a remote-first working culture and the opportunity to make a real impact in a collaborative environment.