07 set - Italia
Jimmy Technologies
Our client, a Fortune 50 leader in enterprise solutions and innovations, is seeking a Senior AI Engineer with Knowledge Graphs and LLMs skills to join their AI incubator to scout, incubate, and validate internal ideas. This role is part of a high-impact strategy leveraging Graph Neural Networks (GNNs) and Generative AI to redefine workflows, semantic search, and intelligence for enterprise solutions in Finance, Operations, Supply Chain, Engineering, or Investments.
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This is a remote-first position with candidates located in Europe, requiring overlap with US working hours (2-6 PM CET).
Responsibilities
- Build Agentic Workflows: Implement orchestration, retrieval pipelines, and validator agents using graph-aware tools.
- Optimize Retrieval: Build hybrid search pipelines (lexical + vector) and integrate vector databases like FAISS, Milvus, or Pinecone.
- Model Integration: Integrate LLMs (Azure OpenAI, Anthropic)
and support domain-specific fine-tuning or adapter models.
- Scalable Engineering: Develop robust API endpoints and ETL pipelines to support model and agent runtimes.
- Experiment & Evaluate: Create evaluation suites for reliability, drift detection, and performance optimization.
Requirements
- Python Expertise: 3+ years of strong Python engineering experience.
- Graph Intelligence and Databases: Working knowledge of knowledge graph modeling (schemas, ontologies, entity resolution) and graph databases. Hands-on experience with Neo4j, Memgraph, AWS Neptune, ArangoDB, or similar. Familiarity with graph embeddings and GNNs (GCN/GAT) is a plus.
- Evaluation & Experimentation: Comfortable designing experiments, building eval harnesses, and reasoning about model quality, robustness, and bias in production AI systems.
- Modern AI Patterns: Hands-on experience building RAG pipelines and agentic workflows. Comfort with
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