
AI Engineer
21 hours ago
What we do
The Analytics Business Unit provides consulting, implementation, training, architecture, and installation services for profitability and sustainability management based on SAP's analytics solutions SAP Analytics Cloud (SAC), PaPM, Sustainability Control Tower (SCT), Data Warehouse Cloud (DWC) and others. We co-develop the SAP PaPM application and content packages providing standard functionality for various use cases and industries. Our team combines functional, technical, and industry expertise on cost allocations, financial planning/budgeting, intercompany transfer pricing, product/service costing, IT costing, tax calculations, funds/liquidity transfer pricing, cost-to-serve, planning simulation, and sustainability. We help our clients in many industries across the globe become more profitable and sustainable, increase operational transparency and control, and create a better basis for decision-making. We are a global, diverse, and inspiring team and offer the opportunity to extend personal and professional capabilities, by working for a leading strategic SAP partner.
What you will do
- Design and develop AI applications using Large Language Models (LLMs) and generative AI technologies
- Build and implement RAG (Retrieval-Augmented Generation) solutions with vector databases for knowledge integration
- Develop AI agents and multi-agent workflows for automated task execution
- Collaborate with cross-functional teams to integrate AI solutions into existing systems
- Optimize AI model performance, cost efficiency, and response quality
- Implement monitoring and evaluation frameworks for AI applications
- Stay current with emerging AI technologies and contribute to technical decision-making
- Write clean, maintainable code following software engineering best practices
What we are looking for
Requirements
- 3-5 years of experience in Machine Learning and AI development
- Strong experience with Large Language Models (GPTs, Claude, Llama, etc.) and other generative AI models.
- Hands-on experience implementing agentic RAG systems using vector databases.
- Proficiency in Python and AI/ML frameworks (LangChain, LlamaIndex, Transformers etc)
- Experience with API development using FastAPI.
- Knowledge of prompt engineering and LLM optimisation techniques
- Understanding of LLMOps practices and model deployment strategies
- Familiarity with cloud platforms (AWS, Azure, GCP) for AI workload deployment
- Strong problem-solving skills and ability to work in agile environments
- Experience with any AI agent frameworks (like LangGraph, AutoGen, CrewAI)
- Knowledge of fine-tuning techniques (LoRA, QLoRA) and model customization
- Familiarity with multimodal AI models (vision, audio, text)
- Understanding of Knowledge Graphs and GraphRAG
- Experience with containerization (Docker, Kubernetes) and CI/CD pipelines
What we offer
- A place where individuals are equally valued and where diversity and cultural differences are cherished.
- A global team of highly respected SAP and industry experts where you can make a difference.
- Competitive salaries and a broad range of benefits, some of which are highlighted below.
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