Medior Data Engineer - 5336

We're looking for a dynamic professional to join our partner's team, which is leading the charge to make this a truly data-driven company, who can design, build and bring to production enterprise-grade AI solutions across processes and operations.

You will play a key role in developing scalable (Gen) AI and multi-agent systems and products, leveraging latest technologies, and applying strong software engineering skills combined with a deep understanding of data and MLOps practices to ensure robust, maintainable, and highly available systems.

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• Design, develop and deploy AI and (Gen)AI services and solutions from proof of concept to full enterprise production
• Build and maintain data pipelines and model deployment workflows for scalable, secure AI systems
• Implement CI/CD and MLOps practices to automate model training, testing and deployment
• Collaborate with Product Owners and data scientists to translate requirements into technical specifications
• Develop and integrate multi-agent AI and LLM-based products and solutions
• Ensure reliability, observability and compliance of deployed AI solutions
• Guide and mentor junior colleagues to foster AI engineering excellence across teams

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• Degree in computer science or a similar field
• Advanced coding skills in Python (preferred) or Java, with solid understanding of software engineering principles
• Experience with backend frameworks (FastAPI, Flask, Django) and microservice architectures
• Familiarity with containerization and orchestration tools (Docker, Kubernetes, GitHub Actions, MLFlow)
• Experience implementing CI/CD and MLOps pipelines in cloud environments (Azure ML, Databricks, AWS)
• Hands-on experience with data ETL, APIs and model deployment workflows
• Knowledge of distributed systems and data platforms for big data
• Understanding of Agile, SAFe methodologies and collaborative engineering practices
• Fluent English and a proactive, problem-solving mindset

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• Experience with multi-agent or generative AI frameworks (e.g. LangChain, CrewAI)
• Familiarity with SAP AI Core, SAP BTP
• Experience with agile frameworks (e.g. Scrum, SAFe) and project management tools (e.g. Jira)

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