AI Engineer at Hyperspace Data and Intelligence

Design and build top quality AI solutions enhancing cloud development processes. Design, develop, and deploy AI and generative AI services from proof of concept to production. Build and maintain data pipelines and model deployment workflows. Implement CI/CD and MLOps practices for automated model training and deployment. Develop and integrate multi-agent AI and LLM-based products and solutions. Ensure reliability, observability, and compliance of deployed AI systems. Mentor junior colleagues on AI engineering excellence.

As part of the new Hyperspace AI Accelerators team, you'll help develop next-generation agentic AI solutions and support how Hyperspace brings AI into engineering roles across SAP.

Requirements:

• Computer science degree or equivalent
• Advanced Python (preferred) or Java skills with software engineering fundamentals
• Backend frameworks: FastAPI, Flask, Django
• Containerization/orchestration: Docker, Kubernetes, GitHub Actions, MLFlow
• CI/CD and MLOps in cloud (Azure ML, Databricks, AWS)
• Data ETL, APIs, and model deployment workflows
• Distributed systems and big data platform knowledge
• Agile/SAFe methodologies
• Fluent English

Nice-to-have:

• Experience with multi-agent or generative AI frameworks (e.g., LangChain, CrewAI)
• SAP AI Core and SAP BTP familiarity