Teamsystem

AI Engineer

In short

This AI Engineer role is at a leading European tech company's Data, AI & Analytics department, focused on building and maintaining AI-powered platforms, data pipelines, and LLM-based solutions through their full lifecycle. It requires at least 4 years of experience in AI Engineering or ML, strong Python skills, cloud experience (AWS/Azure/GCP), knowledge of relational and vector databases, containerization (Docker, Kubernetes, CI/CD), and C1-level English. The role is hybrid, based in Milano or Torino, with a 4-day work week and total compensation of €41,000–€52,000.

About the Company
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, 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 the 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.
Responsibilities
•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.
Requirements
•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).
Conditions
•We believe our relationship with our people is built on trust, clear goals and full autonomy in how to reach them.
•Work is measured by the quality of each contribution, the results achieved and the ownership everyone takes.
•4-day work week: 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 wellbeing: travel, medical expenses, parental support, sports, and reimbursements for personal services such as childcare, caregiving, and more.
•Flexibility: hybrid model, with autonomy over when to come into the office — on-site when it improves collaboration, not for mere presence.
•Growth: tailored learning paths and concrete development opportunities within a continuously evolving international group.
•Environment: inclusive workplace built on trust, collaboration, and the value of diverse perspectives.
•Locations: the position is open in the Milano or Torino offices.

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