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AI & Data Engineer

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Summary

Builds and operates the data backbone of an internal generative AI platform: designing scalable data pipelines, vector (RAG) and graph databases, and secure Azure-based operation, plus evaluating AI models and setting platform/API standards. A 60-100% interim role (3-6 months) with the option of a permanent position.

This role develops and operates the technical foundations of an internal generative AI solution, including data architectures and pipelines for an engineering organization.


Your tasks



  • Design scalable data architectures and data pipelines for an internal generative AI solution

  • Build vector databases (RAG) and graph databases

  • Ensure secure and reliable operation of the AI solution

  • Evaluate suitable AI models and new technologies

  • Define technical standards for platforms, APIs and models

  • Ensure quality of data integrations through testing

  • Collaborate closely with IT and other departments, considering data protection and IT security


What you bring



  • Completed degree in computer science, data engineering, business informatics or comparable field

  • Experience building modern data and AI solutions

  • Sound knowledge of cloud architectures (e.g. Azure)

  • Experience with data pipelines, MLOps and database integrations

  • Experience with vector databases and RAG systems

  • Familiarity with Git, CI/CD and Docker

  • Fluent English required; basic German is helpful


Conditions



  • Workload: 60-100 %

  • Option of a permanent position after the assignment if both sides want it


What to expect



  • Workload 60-100%

  • 3-6 months interim, then a permanent position

  • Flexible working conditions


Technologies



  • Azure

  • Git

  • CI/CD

  • Docker

Skills

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See also

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