Experteer Overview In this role you will design and govern production‐grade Gen AI and retrieval‐augmented systems for internal use across global teams. You will own end‐to‐end Gen AI architecture, establish RAG strategies, and align with GDPR, data residency, and enterprise IT standards. You'll lead engineering efforts, integrate AI into data platforms, and mentor others while focusing on reliability, security, and transparency. This opportunity puts you at the core of scalable AI enablement within an Io T‐focused company. Retribuzione / Benefits Own end‐to‐end Gen AI architecture for internal use cases Define RAG reference architectures and embedding/retrieval strategies Evaluate build vs. buy with clear trade‐offs Design multi‐source RAG pipelines (structured + unstructured) Implement advanced retrieval patterns (hybrid search, reranking, context compression) Address enterprise failure modes (stale knowledge, conflicting sources, access control)



Define KPIs (precision/recall, grounded ness, hallucination rate) and AI Act‐aligned transparency artifacts Build production services (APIs, batch jobs, internal tools) Integrate Gen AI into data platforms and analytics workflows Ensure logging, observability, cost monitoring, and feedback loops Act as technical authority for Gen AI and mentor engineers/data scientists Educate stakeholders on Gen AI capabilities and limitations Responsabilità Strong Python CI/CD Enterprise SDLC Hands‐on Gen AI & RAG expertise beyond demos Embeddings, retrieval tuning Vector databases SQL and object storage Containerized deployments GDPR, data residency, RBAC Collaboration with Legal/DPO 5–8+ years in software/ML engineering 2+ years in Gen AI/NLP systems #J-18808-Ljbffr

📌 Senior ai engineer (Italia)
🏢 Experteer Italy
📍 Italia