Senior AI Engineer with Graph (GraphRAG, Neo4J)

Job Description

Responsibilities

• Build ETL pipelines
• Design data models.
• Design and implement GraphRAG solutions combining knowledge graphs, vector search, metadata, and LLM-based retrieval.
• Create Source to Target Mappings (STMs) for ETL specifications.
• Implement automated ingestion patterns, incremental (delta) updates, and streaming/CDC workflows.

Collaboration & Agile Development

• Gather requirements , set targets , define interface specifications , and conduct design sessions.
• Work closely with data consumers to ensure proper integration.
• Adapt and learn in a fast-paced project environment .

• Start Date: ASAP

• Location: Remote
• Working hours: US time zone overlap required: 2-6pm CET
• Long-term contract based-role: 6+month
• Contact with European LLC

Job Requirements

• Strong SQL skills for ETL, data modeling, and performance tuning .
• Experience with Neo4j, Cosmos DB or Gremlin API.
• Proficiency in Python , especially for handling and flattening complex JSON structures .
• Hands-on experience with Microsoft Fabric, Synapse, ADF, or similar cloud data stacks.
• Knowledge of GraphRAG, retrieval systems, LLMs, embeddings and RAG pipelines.
• Understanding of software engineering and testing practices within an Agile environment .
• Experience with Data as Code ; version control, small and regular commits, unit tests, CI/CD, packaging, familiarity with containerization tools such as Docker (must have) and Kubernetes (plus).
• Excellent teamwork and communication skills .
• Proficiency in English , with strong written and verbal communication skills .
• Efficient, high-performance data pipelines for real-time and batch data processing.
• Nice to have:
• Experience with Databricks or similar data platforms.
• Vector databases, Azure AI Search, or semantic search platforms.