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This listing was closed on Jul 19, 2026.
Browse Open JobsSenior Data Scientist (Generative AI & LLM Systems)
Summary by AIEngineer.careers
Senior Data Scientist (Generative AI & LLM Systems) is a AI Engineer role (full-time). with SAP. in PRAHA, CZ. Imported listing (source: cz.linkedin.com). Apply on the employer's site (cz.linkedin.com).
Imported listing (source: cz.linkedin.com) · Apply on cz.linkedin.com
PRAHA · CZ
—
Full-time
SENIOR
The sections below reproduce the third-party job description for reference. AIEngineer.careers does not write or control this text.
Imported job description
Sourced from cz.linkedin.com
SAP is hiring a Senior Data Scientist to embed AI and generative capabilities into their web platforms. The role involves designing LLM-powered features, building agentic workflows with LangChain, and optimizing RAG pipelines. You will work with web developers to deploy models into production.
Responsibilities
- Design and implement AI-powered capabilities within the web delivery ecosystem.
- Integrate machine learning models, LLMs, and predictive systems into web applications and APIs.
- Architect agentic workflows using LangChain and LangGraph.
- Develop and evaluate ML models for personalization, recommendation, predictive analytics, content generation, user behavior modeling, and anomaly detection.
- Prototype and deploy LLM-powered features such as intelligent assistants and automated workflows.
- Optimize RAG architectures with advanced chunking, semantic caching, and hybrid search.
- Design prompt strategies, evaluation pipelines, and guardrails.
- Optimize inference performance and cost for production systems.
- Develop APIs and microservices to expose AI functionality.
- Define and implement data pipelines for training and inference.
- Implement responsible AI practices including bias monitoring and explainability.
SAP
Walldorf · DE · 112000+ employees
SAP is a global leader in enterprise software, providing integrated business applications and business AI solutions. Their software helps organizations manage core operations including finance, HR, supply chain, procurement, and customer experience.
