AI Engineer

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.