SAP Full Stack Public Cloud
Meet Our Recruiter
Richard Brady
About the Role
Senior AI Engineer, SAP BTP and Public Cloud
The Opportunity
Most AI engineering roles right now are either pure research or pure integration work - wiring up an API and calling it done. This one sits in a more interesting space.
A Hamburg-based software company specialising in cloud solutions for energy and logistics is building AI-powered features directly into its products. You'd be joining an agile engineering team working on a cloud-native architecture across SAP BTP and Node.js - owning AI implementation end to end, from RAG-based solutions and LLM integration through to cost optimisation and technical coaching of the wider team.
It's a senior role with real scope: you'll be shaping how AI works in production, not just proving concepts.
The Role
You'll be responsible for:
- Implementing AI-powered features within public cloud products
- Integrating LLM and AI services via APIs, including SAP AI Core and Azure OpenAI
- Developing RAG-based solutions across structured and unstructured data
- Implementing AI services within microservices architectures with multi-tenancy in mind
- Event-driven integration patterns and API-first design
- Logging, monitoring and output validation for AI functions
- Cost-conscious use of AI services: token optimisation and scaling logic
- Technical coaching on AI implementations and contributing to AI best practices across engineering
The Company
An established software house based in Hamburg, focused on cloud solutions for the energy and logistics sectors. The team works in an agile setup on a modern, cloud-native stack. English is the primary working language.
What You'll Need
- Several years of experience in modern software development, particularly Node.js and cloud-native environments
- Proven experience integrating LLMs or AI services into production systems
- Strong understanding of REST APIs, microservices and event-driven architectures
- Experience with SAP BTP or a comparable cloud platform
- Knowledge of RAG patterns, prompt engineering and AI service integration
- Understanding of scaling, observability and cost models in cloud environments
- Experience in distribution, logistics or supply chain software is a strong advantage
How to Apply
Get in touch with your CV. It doesn't need to be up to date - send what you have, or give us a call.