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.This is a remote-first position with candidates located in Europe, requiring overlap with US working hours (2-6 PM CET).Asegúrese de que toda la información de su solicitud está actualizada y en orden antes de inscribirse en esta ocasión.ResponsibilitiesBuild 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.RequirementsPython 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 prompt engineering and tool/function calling. Experience bu

📌 Senior Ai Engineer (Palma)
🏢 Fortune 50 leader
📍 Palma