OverviewLe seguenti informazioni forniscono una panoramica delle competenze, delle qualità e delle qualifiche necessarie per questo ruolo.As an AI Solutions & Automation Engineer at Ateme, you design, build, and deploy internal tools that reduce repetitive tasks and boost cross-functional efficiency. You'll work at the intersection of full-stack development, generative AI, automation, and business understanding to address real business needs. You'll prototype quickly, deliver end-to-end internal solutions, and ensure secure, accountable AI practices. You'll collaborate with Sales, Pre-Sales, Support, Product, and Operations to scale reusable components across teams. This role offers the chance to shape internal workflows at a video delivery leader and contribute to impactful, measurable improvements.Retribuzione / BenefitsHybrid working modelPerformance bonusEmployee referral bonusInternal training platformExposure to Kubernetes and AWSInternational collaborationResponsabilitàWork with business teams to identify high-impact, repetitive tasks and define expected benefitsPrototype proofs of concept and MVPs, iterating with user feedbackDevelop end-to-end internal tools including UI, backend, workflows,



and integrationsIntegrate with enterprise systems (Microsoft 365, Salesforce, Jira, Confluence, SharePoint) with proper access controlIndustrialize solutions with testing, CI/CD, observability, and documentationApply security and responsible AI practices including data protection and risk managementDefine and track adoption, quality, and efficiency metrics with stakeholdersCreate reusable components and contribute to a shared architecture for cross-team reuseRequisiti fondamentaliMaster's degree or equivalent with at least 5 years of relevant experienceFull-stack development with xysqume Python and/or TypeScript, REST APIs, databases, UI designGenerative AI expertise: LLMs, prompt engineering, RAG, semantic search, tool calling, orchestrationSystem integration: OAuth 2.0 / OIDC, SSO, enterprise APIs and connectors, identity managementCloud and DevOps: Docker, Git, CI/CD, automated testing, logging, monitoring, deploymentProduct thinking and user adoption focusSecurity and governance practices for data, secrets, auditability, and documentationCuriosityPragmatismAutonomyPythonTypeScriptREST APIs

📌 Ai Solutions & Automation Engineer (Milano)
🏢 Experteer Italy
📍 Milano