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Junior AI Engineer – AI and Digitalization Focus

AI / ML Engineer • Junior • On-site • Full-time Germany Bad Salzuflen, Germany

POS TUNING is looking for a junior AI engineer to digitalize and automate the company's business processes using modern AI technologies. The role spans designing chatbots, intelligent assistants, and automation solutions, integrating them into existing systems (ERP, CRM, document management), and taking prototypes through to production.

Stack

Responsibilities

  • Digitalize and automate business processes through the use of modern AI technologies
  • Design and implement intelligent solutions, e.g. chatbots, assistants, and automation solutions
  • Integrate AI applications into existing systems and processes (e.g. ERP, CRM, or document management systems)
  • Identify automation and optimization potential in cooperation with business departments
  • Develop prototypes and turn them into productive applications
  • Evaluate new AI technologies and derive practical recommendations
  • Support departments in the introduction of new AI solutions

Requirements

  • Completed degree in computer science, business informatics, data science, or a comparable qualification
  • Enthusiasm for applying current AI technologies in industrial business processes
  • Independent, structured, and results-oriented way of working
  • Strong teamwork ability and the capability to connect technical and business requirements
  • Enjoyment in implementing innovative AI solutions from idea to productive use

Nice to have

  • Initial experience with APIs and integrating software solutions

Soft skills

Independent and structured way of workingResults orientationStrong teamwork abilityAbility to connect technical and business requirements

About the company

POS TUNING is a globally active specialist for the point of sale, focused on digitalizing and automating stationary retail. As a family-owned company, it stands for quality, professionalism, and partnership-based collaboration, and positions itself as an innovation leader in its industry.

Education: Informatika, gazdaságinformatika, data science vagy hasonló szakirányú diploma

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