Ai Solutions & Automation Engineer
Pubblicato il 24-09-2026 - Experteer Italy in Milano
Overview
Le 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 / Benefits
Hybrid working model
Performance premio
Employee referral bonus
Internal training platform
Exposure to Kubernetes and AWS
International collaboration
Responsabilità
Work with business teams to identify high-impact, repetitive tasks and define expected benefits
Prototype proofs of concept and MVPs, iterating with user feedback
Develop end-to-end internal tools including UI, backend, workflows, and integrations
Integrate with enterprise systems (Microsoft 365, Salesforce, Jira, Confluence, SharePoint) with proper access control
Industrialize solutions with testing, CI/CD, observability, and documentation
Apply security and responsible AI practices including data protection and risk management
Define and track adoption, quality, and efficiency metrics with stakeholders
Create reusable components and contribute to a shared architecture for cross-team reuse
Requisiti fondamentali
Master's degree or equivalent with at least 5 years of relevant experience
Full-stack development with xysqume Python and/or TypeScript, REST APIs, databases, UI design
Generative AI expertise: LLMs, prompt engineering, RAG, semantic search, tool calling, orchestration
System integration: OAuth 2.0 / OIDC, SSO, enterprise APIs and connectors, identity management
Cloud and DevOps: Docker, Git, CI/CD, automated testing, logging, monitoring, deployment
Product thinking and user adoption focus
Security and governance practices for data, secrets, auditability, and documentation
Curiosity
Pragmatism
Autonomy
Python
TypeScript
REST APIs