AI Engineer - Generative AI | AI Engineer - Generative AI (m/w/d) für unsere Tochterfirma RE-IN

Conrad Electronic SE

Hirschau, Oberpfalz, Bayern, Deutschland
Published Feb 25, 2026
Full-time
Permanent

Job Summary

As an AI Engineer for RE-IN, you will play a pivotal role in redefining digital retail by designing, implementing, and evaluating end-to-end Generative AI agents. Your daily responsibilities include developing robust Python-based microservices to serve as backends for these agents, integrating models into the existing system landscape via standard protocols, and building optimized data pipelines for both batch and streaming processes. You will also oversee MLOps to ensure stable cloud operations, focusing on latency, cost management, and versioning. This role is ideal for a proactive professional who enjoys bridging technical implementation with stakeholder needs. The position offers a highly collaborative environment at a 'Great Place to Work' certified company, emphasizing trust, flat hierarchies, and the freedom to implement innovative ideas without bureaucratic hurdles. You will work within a modern tech stack involving Azure, GCP, and Databricks to unleash the future of digital commerce.

Required Skills

Education

University degree in Computer Science, Mathematics, Data Science, or a comparable technical qualification.

Experience

  • Several years of professional experience in end-to-end AI and Generative AI product development
  • Extensive experience in Python programming and backend development
  • Proven track record in deploying and operating AI models within cloud environments
  • Experience in developing and optimizing data processing pipelines
  • Demonstrated experience in stakeholder management and translating business needs into technical solutions

Languages

German (Fluent)English (Fluent)

Additional

  • The role is a permanent, full-time position. Candidates must be comfortable working in a cloud-native environment (Azure/GCP) and participating in mobile/remote work arrangements using modern collaboration tools.