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Senior AI Platform Engineer (m/w/d)

Full Time Senior

Job description

You won't just build features, but shape a scalable AI platform technically? In this role, you'll take responsibility for architecture, stability, and future-proofing – and bring KI workloads productively and securely into real environments.

Overview of our Huacaya Platform: Huacaya is our on-premise platform for AI development and deployment. It enables the secure and efficient hosting, training, and integration of AI models in applications like chats or process automation. The platform covers the entire AI lifecycle and offers companies a robust foundation to develop tailored solutions for specific requirements. As part of our team, you will significantly contribute to the further development of Huacaya and design innovative AI-based applications within projects. 

  • You shape the architecture and core services of Huacaya and develop the platform technically further

  • Scalable backend and platform components (APIs, orchestration, model management, integrations) are within your responsibility

  • KI workloads you lead stably, performantly, and securely into productive environments

  • You optimize deployment, observability, and performance continuously with a clear quality standard

  • You steer the integration in cloud-, on-prem- and hybrid infrastructure sovereignly

  • Together with development teams and our customers, you develop robust, sustainable solution designs

  • You actively drive technical decisions forward and take ownership for sustainable architecture principles

  • A completed degree in (Applied) Mathematics, Physics, Computer Science, Data Science or a comparable field forms the basis for this position

  • Excellent communication skills in German and English enable you to work effectively with various stakeholders

  • Multiple years of experience in backend-, platform- or cloud-engineering form the foundation of your technical sovereignty

  • You move confidently in Python as well as modern API frameworks like FastAPI or Flask and develop sustainable, performant services

  • Containerized architectures with Docker and Kubernetes are part of your professional standard

  • You are familiar with cloud- and infrastructure technologies such as Azure, AWS or comparable platforms

  • Ideal would be if you had already gained experience with AI-, ML- or MLOps workloads and know their specific requirements in productive operation

  • You work with a strong ownership mindset, combine strategic thinking with pragmatic solution orientation, and take responsibility for sustainable results

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Company information

Company
Leadvise Reply GmbH
Location
Berlin
Germany
Posted
2 months ago

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