AI Engineer

- Designing and developing GenAI and Agentic AI solutions for SAP and enterprise use cases with production readiness in mind
- Building RAG-based applications using SAP data, technical documentation, and knowledge repositories
- Creating AI accelerators for SAP code analysis, modernization, test generation, data mapping, impact analysis, and knowledge assistants
- Integrating LLM solutions with SAP applications, APIs, services, and enterprise data sources
- Developing graph-based memory, tool-using agents, and context-aware AI components for multi-agent workflows
- Writing reusable Python services and APIs that support scalable AI delivery
- Applying cloud-based LLM platforms such as Azure OpenAI and AWS Bedrock to deliver enterprise AI solutions
- Translating SAP functional and technical requirements into AI engineering solutions for finance and ERP transformation use cases
- Implementing evaluation methods for accuracy, relevance, groundedness, hallucination mitigation, performance, and reliability
- Applying software engineering practices such as version control, automated testing, CI/CD, observability, security, and maintainability