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Über diese AI Engineer Stelle bei TeamSystem

TeamSystem · Hybrid · Italy, Milano

We are the leading Tech Company in Europe, supporting digital innovation for over 45 years. ​

We are committed to bringing digital technology into every business. How? By putting customers first and becoming the go-to partner for professionals, small, medium and large companies, offering customised solutions and services to optimise business processes. from HR and customer relations to e-invoicing and digital payments.​

 

In Data, AI & Analytics Dept., we are dedicated to the evolution and optimization of the entire data-related value chain. We ensure structured and strategic management of the IT assets, defining the most advanced architectures and analysis methodologies to oversee the main drivers of efficiency and innovation. We are committed to strengthening a function that is increasingly focused on generating value, embedded in core business processes and capable of generating a concrete impact on the Group's strategy and growth.​

 

Join a team where young talents and professionals work side by side on innovative projects in the field of AI Engineering, with the aim of building intelligent, scalable solutions that create real impact through technology.

 

In particular, you will:

  • Develop, maintain, and evolve AI-powered platforms and scalable software architectures, enabling advanced capabilities across Data, AI, and Analytics domains.
  • Design and integrate data pipelines for structured and unstructured data, connect with relational and vector databases, and implement AI solutions leveraging LLMs, prompting techniques, and model customization.
  • Manage AI solutions throughout their lifecycle, from design and development to production deployment, monitoring, maintenance, and continuous improvement, ensuring reliability, security, compliance, and high-quality documentation.

 

What skills are we looking for?

  • At least 4 years of experience in AI Engineering, Machine Learning, or related software engineering roles.
  • Strong proficiency in Python and experience working with modern AI frameworks, Large Language Models (LLMs), and Generative AI solutions.
  • Experience designing and developing scalable software applications, APIs, and microservices within cloud environments (AWS, Azure, or GCP).
  • Knowledge of data architectures, including relational and vector databases, data pipelines, and the management of structured and unstructured data.
  • Familiarity with containerization technologies and modern software development practices (Docker, Kubernetes, Git, and CI/CD).
  • Ability to design, develop, deploy, and operate AI-powered solutions with a focus on scalability, reliability, and security.
  • Advanced proficiency in English (C1 level).

 

Do you recognize yourself in the skills we’re looking for? That’s a great start. We’re looking for people who reflect our values through their growth mindset and their ability to turn challenges into opportunities.​

​

  • ENTREPRENEURSHIP - is the engine that drives us to excel, innovate and challenge ourselves for our own success and that of our company. We are proactive, responsible and customer- centric, always ready to question the status quo and achieve extraordinary results.​
  • INNOVATION - is the guiding light that illuminates our path as we move through an environment full of different experiences, knowledge and perspectives. We are not afraid of making mistakes; we work in an environment that is fertile for the development of innovative solutions.​
  • INCLUSION - is the sentiment that guides our relationships amongst individuals, each of whom has a different history and experience. We advocate for an inclusive work environment that values each person's unique characteristics.​

​

Do you identify with this? Apply now in just a few clicks and track your application on our portal! Here, we give space to those who want to get involved, grow and leave their mark.​

​

What we offer:

We believe our relationship with our people is built on trust, clear goals and full autonomy in how to reach them. With AI at our side, we spend more time on the work that creates real value: thinking, creating, innovating and making decisions. Here, work is measured by the quality of each contribution, the results achieved and the ownership everyone takes. It's this vision, built over time, that made our 4-day week a natural next step: one extra day every week for what matters to you. ​​​

  • Total compensation: € 41.000 – € 52.000 Including a variable component linked to performance. Full-time reference.​​
  • Wellbeing Digital Wallet: from € 2.800 per year. A personal budget to support your wellbeing: travel, medical expenses, parental support, sports, and reimbursements for personal services such as childcare, caregiving, and more.​​
  • Flexibility: we work in a hybrid model, with autonomy over when to come into the office.​​
    For us, being on-site makes sense when it improves the way we work: you come in when collaboration with colleagues makes a difference, not for presence, but for effectiveness.​​
  • Growth: we offer tailored learning paths and concrete development opportunities within a continuously evolving international group.​​
  • Environment: we promote an inclusive workplace built on trust, collaboration, and the value of diverse perspectives.​​
  • Impact: every day we work to create value for people, businesses, and communities through digital technology.​

 

Locations: The position is opened in the Milano or Torino offices.

 

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Wie sich dieses Gehalt für AI Engineer vergleicht

Diese Stelle zahlt $51,992/yr — unter der üblichen Spanne für AI Engineer Stellen.

$105,000 dem Median $185,000 $275,000

Übliche Spanne $144,200–$228,700/yr, aus 3,192 vergleichbaren AI Engineer Anzeigen auf JobsRadar (Vergütung auf USD hochgerechnet). Gehaltseinblicke für AI Engineer ansehen →

Über TeamSystem

At TeamSystem, we embrace a flexible, responsible way of working built on trust and autonomy. We combine on-site and remote work, with Light Friday giving Friday afternoons off. We provide modern tools, invest in continuous learning, and foster an inclusive, collaborative culture shaped by Agile principles.

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