Design and operate a company-wide AI platform used by multiple engineering teams. Build infrastructure for LLM access, inference, orchestration, evaluation, monitoring, and cost control. Own MCP-based infrastructure (model communication / orchestration layer), including routing, permissions, safety, and observability. Design and enhance DevOps and CI/CD systems with AI. Integrate AI into developer workflows (Git, CI systems, issue tracking, observability). Build data curation and retrieval pipelines for AI systems (training, fine-tuning, RAG, evaluation). Drive measurable improvements in developer productivity, CI signal quality, and operational efficiency. Act as an internal multiplier: enable teams rather than building one-off solutions. Collaborate with engineering teams across Germany, the US, China, and Japan.
Veröffentlichungsdatum:
04 Jan 2026Standort:
BöblingenTyp:
VollzeitArbeitsmodell:
Vor OrtKategorie:
Erfahrung:
2+ yearsArbeitsverhältnis:
Angestellt
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