AI Engineer

The AI Transformation team drives 360-degree innovation across the TeamSystem Group through cutting-edge technologies. The team shapes the AI roadmap, delivers measurable impact on value creation, and makes AI part of how the Group works every day. The company is a leading tech company in Europe supporting digital innovation for over 45 years.

Responsibilities

Develop, maintain, and evolve AI-powered platforms and scalable software architectures 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 2-3 years of experience in the role is considered a plus; Degree in STEM disciplines or in the Data/AI field; Strong Python skills, with the ability to design and build reliable software modules in Python; Ability to write clean, maintainable code, with understanding of good software design and best practices, including SOLID principles or basic design patterns; Familiarity with Git (experience with GitHub or GitLab is appreciated); Understanding of basic Generative AI concepts such as LLMs, embeddings, context, input and output windows, alignment, and the autoregressive nature of LLMs; Advanced proficiency in English (C1)

Nice to have

At least 2-3 years of experience in the role; Familiarity with AI agents and related frameworks (Model Context Protocol, LangChain, LangGraph, Pydantic AI, Agno, Google ADK, or similar); Experience in the Machine Learning field; Developing personal AI projects

Benefits

Total compensation of € 34.000 – € 40.000 including a variable component linked to performance; Wellbeing Digital Wallet from € 2.800 per year for travel, medical expenses, parental support, sports, and reimbursements for personal services such as childcare and caregiving; Hybrid work model with autonomy over when to come into the office; 4-day week; Tailored learning paths and development opportunities within an international group; Inclusive workplace built on trust, collaboration, and diverse perspectives