Senior AI Engineer — Build Enterprise AI Solutions

Fabasoft Group

Linz

On-site

EUR 51,000 - 61,000

Full time

14 days+

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Benefits offered by this job

Catering
Team events
Modern office
Climate tickets
Home office quota

Job summary

Fabasoft Group in Linz, Austria is seeking an experienced AI/ML professional to design and implement AI innovations within our corporate environment. You will collaborate with product and project teams to turn ideas into practical solutions and translate research findings into enterprise-ready applications.

We require a degree in AI/Data Science/CS with hands-on AI/ML experience, strong knowledge of retrieval-augmented generation and multi-agent architectures, and comfort working in agile

Qualifications

  • Completed degree in AI, Data Science, CS or related field with hands-on AI/ML implementation experience.
  • Experience with modern AI technologies and enterprise integration.
  • Familiarity with agile development (Scrum, CI/CD) and effective communication in German and English.

Responsibilities

  • Design AI innovations with product/project teams and turn ideas into implementations.
  • Evaluate and implement state-of-the-art AI technologies for business apps.
  • Stay updated with research and translate findings into practical solutions.
  • Share knowledge and strengthen internal AI expertise.

Skills

AI/ML solutions
Retrieval-augmented generation
Prompt engineering
Multi-agent architectures
Agile (Scrum, CI/CD)
Enterprise system integration
Python
TensorFlow/PyTorch

Education

Degree in AI/Data Science/CS

Tools

Python
CI/CD tooling

Job description

Fabasoft Group in Linz, Austria is seeking an experienced AI/ML professional to design and implement AI innovations within our corporate environment. You will collaborate with product and project teams to turn ideas into practical solutions and translate research findings into enterprise-ready applications.

We require a degree in AI/Data Science/CS with hands-on AI/ML experience, strong knowledge of retrieval-augmented generation and multi-agent architectures, and comfort working in agile

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