AI Solutions & Automation Engineer

Experteer Italy

Milano

In loco

EUR 60.000 - 90.000

Tempo pieno

4 giorni fa
Candidati tra i primi
Generatore di candidature

Ottieni una risposta da questo datore di lavoro — un curriculum e una lettera di presentazione personalizzati, che corrispondono esattamente a ciò che sta cercando.

Supera i filtri ATS

Vantaggi offerti da questo lavoro

Performance bonus
Employee referral bonus
Internal training platform
Exposure to Kubernetes and AWS
International collaboration

Descrizione del lavoro

Ateme is seeking an AI Solutions & Automation Engineer to design, build, and deploy internal tools that cut repetitive tasks and boost cross-functional efficiency. You will work at the intersection of full-stack development, generative AI, automation, and business understanding to address real business needs.

You will prototype quickly, deliver end-to-end internal solutions, and ensure secure, accountable AI practices while collaborating with Sales, Pre-Sales, Support, Product and Operations to

Competenze

  • Master’s degree or equivalent with at least 5 years of relevant experience.
  • Full-stack development with Python and/or TypeScript, REST APIs, databases, UI design.
  • 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.

Mansioni

  • Design, build, and deploy internal tools to reduce repetitive tasks and boost cross-functional efficiency.
  • 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.

Conoscenze

Python
TypeScript
Full-stack development
UI design
REST APIs
Databases
Security practices

Formazione

Master's degree or equivalent

Strumenti

Docker
Git
CI/CD
Jira
Confluence
Salesforce
Microsoft 365
SharePoint

Descrizione del lavoro

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.

  • Performance bonus
  • Employee referral bonus
  • Internal training platform
  • Exposure to Kubernetes and AWS
  • International collaboration
  • 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
  • Master’s degree or equivalent with at least 5 years of relevant experience
  • Full-stack development with Python and/or TypeScript, REST APIs, databases, UI design
  • 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
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