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

Ihre Aufgaben

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

Was Sie mitbringen

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

Rahmenbedingungen

Pensum: 60–100 %
Option auf Festanstellung nach dem Einsatz, wenn beide Seiten wollen

Was Sie erwartet

Workload 60-100%
3–6 months interim, then a permanent position
Flexible working conditions

Technologien

Azure
Git
CI/CD
Docker

So bewerben Sie sich

Sie bewerben sich mit Ihrem Try&Hire-Profil: Lebenslauf hochladen, Angaben prüfen, Eckdaten und Verfügbarkeit eintragen. Ein kurzes Vorstellungsvideo ist freiwillig, hilft aber. Unser Team meldet sich, wenn Ihr Profil zum Einsatz passt.

AI & Data Engineer