Ai Solutions & Automation Engineer
Pubblicato il 27-09-2026 - Experteer Italy in Milano
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.Può ottenere maggiori dettagli sulla natura di questa posizione e sui requisiti per i candidati leggendo quanto segue.Performance bonusEmployee referral bonusInternal training platformExposure to Kubernetes and AWSInternational collaborationWork 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 reuseMaster's xysqume degree or equivalent with at least 5 years of relevant experienceFull-stack development with Python and/or TypeScript, REST APIs, databases, UI designSystem 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 documentation#J-*****-Ljbffr