Senior AI Engineer with Graph (GraphRAG, Neo4J)
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Key skills for this role
About the Role
Jimmy Technologies seeks a Senior AI Engineer for a Fortune 50 client to build scalable data and AI systems, focusing on GraphRAG solutions with Neo4j and knowledge graphs. This long-term remote contract requires strong Python skills, experience with ETL, and US time zone overlap.
Key Skills for This Role
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
- 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
Requirements
- Strong proficiency in Python, building backend services/APIs as well as data pipelines
- ETL, data modeling, and performance tuning experience
- Experience with Neo4j, Cosmos DB or Gremlin API
- Knowledge of GraphRAG, retrieval systems, LLMs, embeddings and RAG pipelines
- Hands on GenAI experience: LangGraph (or similar), MCP, RAG, agentic memory management and other concepts
- Hands on data experience with Microsoft Fabric, Synapse, ADF, or similar cloud data stacks
- 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
Full Job Posting
Job Description
- We are looking for a Senior AI Engineer with Data engineering experience for the team of our Fortune 50 client, building scalable, production grade data and AI enabled systems.
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.
Job Requirements
- Strong proficiency in Python, building backend services/APIs as well as data pipelines
- ETL, data modeling, and performance tuning experience
- Experience with Neo4j, Cosmos DB or Gremlin API.
- Knowledge of GraphRAG, retrieval systems, LLMs, embeddings and RAG pipelines.
- Hands on GenAI experience: LangGraph (or similar), MCP, RAG, agentic memory management and other concepts
- Hands on data experience with Microsoft Fabric, Synapse, ADF, or similar cloud data stacks.
- 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.
Work Conditions
- Type: Full time & Long term contract work
- Start Date: ASAP
- Location: Remote (99%) in Europe; must be able to travel freely within Europe for workshops.
- US Time Zone Overlap: Required (2 PM 6 PM CET)
- Contract with European LLC
- Rate: 300 340 EUR/day
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