AI Platform Engineer: Scale LLM Infra in Hybrid Role

TeamSystem S.p.A.

Padova

Ibrido

EUR 41.000 - 52.000

Tempo pieno

14 giorni+

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Vantaggi offerti da questo lavoro

Total compensation
Wellbeing Wallet
Hybrid work model
Growth opportunities

Descrizione del lavoro

TeamSystem S.p.A. is seeking an AI Platform Engineer to strengthen our Data, AI & Analytics team in Milan or Padova.

You will build core AI platform services such as LLM gateways, MCP infrastructure, and agent lifecycle management to enable scalable AI-powered products. The role requires 4–5 years in platform/cloud/backend engineering, strong Python (FastAPI), and experience with containers, IaC, and cloud ecosystems.

Competenze

  • 4–5 years of experience in platform, cloud, or backend engineering.
  • Strong software engineering and problem-solving skills.
  • Experience with cloud infrastructures, containers, and Infrastructure as Code.
  • Familiarity with Python backend development (FastAPI).
  • Interest in AI technologies and building platforms enabling AI at scale.
  • Good understanding of software architecture and scalable system design.
  • Proficiency in English (B2 level).

Mansioni

  • Develop core services of the AI Platform, including LLM gateways and MCP infrastructure.
  • Design platform capabilities to help product teams deploy AI-powered applications at scale.
  • Collaborate with AI Engineers, Product Teams and Business Units to enable AI-powered products.
  • Contribute to architectural decisions and future platform direction.

Conoscenze

Platform engineering
Cloud engineering
Backend engineering
Python
FastAPI
Containers
Infrastructure as Code
AI technologies
Observability
English (B2)

Strumenti

AWS/Azure/GCP
Kubernetes
Terraform

Descrizione del lavoro

TeamSystem S.p.A. is seeking an AI Platform Engineer to strengthen our Data, AI & Analytics team in Milan or Padova.

You will build core AI platform services such as LLM gateways, MCP infrastructure, and agent lifecycle management to enable scalable AI-powered products. The role requires 4–5 years in platform/cloud/backend engineering, strong Python (FastAPI), and experience with containers, IaC, and cloud ecosystems.

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