{
  "job_id": "DCl6_2PtEW7uYxlXAAAAAA==",
  "job_city": "München",
  "job_state": null,
  "job_title": "AgenticAI Engineer at AI CoE (f/m/d)",
  "job_country": "DE",
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  "job_location": "München",
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      "publisher": "Experteer",
      "apply_link": "https://www.experteer.de/career/view-jobs/agenticai-engineer-at-ai-coe-f-m-d-muenchen-bayern-deutschland-56568197?utm_campaign=google_jobs_apply&utm_source=google_jobs_apply&utm_medium=organic"
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  "employer_name": "SAP",
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  "job_longitude": 11.5819805,
  "job_posted_at": "vor 9 Tagen",
  "job_publisher": "Experteer",
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  "job_description": "Experteer Overview\nIn this AI Engineer role, you drive end-to-end AI development within SAP’s Enterprise AI CoE, from PoC to production. You work on genAI modeling, data pipelines, and scalable AI services in a scrum setting. You collaborate across the organization to translate data into business solutions, deploy microservices on Kubernetes, and lead junior engineers. The role blends research, software engineering, and MLOps to create enterprise-grade AI applications that impact global processes.\n\nLeistungen / Benefits\n• Develop agentic AI services from PoC to production\n• Build and productize Big Data pipelines for AI services\n• Create agentic AI flows to digitize business processes through code and prompts\n• Collaborate with stakeholders to leverage data for business solutions\n• Wrap AI services in microservices and expose endpoints (REST, A2A, MCP)\n• Productionize PoCs with CI/CD, deployment, and MLOps/AgentOps\n• Own AI services in development and production\n• Mentor and guide junior AI engineers and grow the team’s skills\n\nAufgaben\n• Bachelor's or Master's degree in ML, CS, or engineering\n• Strong coding skills (Python or Java)\n• Deep understanding of AI/ML concepts\n• Hands-on with agentic AI frameworks (Langgraph, CrewAI, Microsoft agent framework, google-adk)\n• Experience with agentic AI communication tech (MCP, A2A)\n• Knowledge of AIOps and LLMOps concepts (MLflow 3.0)\n• Experience with ML frameworks (Keras, scikit-learn, TensorFlow, PyTorch, Langchain, OpenAI, Huggingface)\n• Solid software engineering practices and Scrum experience\n• Productization tech (Docker, Kubernetes, GitHub, VSCode, Linux)\n• CI/CD and MLOps (Jenkins, GitHub Actions, MLFlow)\n• Cloud deployments (Azure ML, Databricks, AKS, Event Hubs, Azure Data Factory, Azure Functions)\n• Code ownership and Scrum leadership experience\n• Curiosity about AI applications and new tech\n• Excellent English; German nice-to-have\n• Experience with SAP AI offerings is a plus\n• SAFe/Scaled Agile knowledge is a plus\n• Python backend dev (Flask, Django, FastAPI) is a plus\n\nZentrale Anforderungen\n• great benefits\n• wellbeing focus\n• learning and skill growth\n• team that supports growth\n• flexible working models\n• autonomous/agile team environment",
  "job_google_link": "https://www.google.com/search?q=jobs&gl=de&hl=de&udm=8#vhid=vt%3D20/docid%3DDCl6_2PtEW7uYxlXAAAAAA%3D%3D&vssid=jobs-detail-viewer",
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  "job_employment_type": "Vollzeit",
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  "job_posted_at_timestamp": 1773273600,
  "job_posted_at_datetime_utc": "2026-03-12T00:00:00.000Z"
}