Beschreibung
We are looking for a Senior AI Engineer (m/f/d)
(unlimited, full-time) Join our team at our location in Berlin, Baden-Baden, Verl, Tallinn, Oslo or Stockholm – flexible working conditions available
## (Y)our Mission:
You will design and operate the systems that make AI use cases possible across Riverty: the AI Gateway, model routing, MCP communication, technical governance, and internal SDKs. Your work shapes how Riverty adopts AI in a controlled, interoperable, and platform-centric way.
## ...
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We are looking for a Senior AI Engineer (m/f/d)
(unlimited, full-time) Join our team at our location in Berlin, Baden-Baden, Verl, Tallinn, Oslo or Stockholm – flexible working conditions available
## (Y)our Mission:
You will design and operate the systems that make AI use cases possible across Riverty: the AI Gateway, model routing, MCP communication, technical governance, and internal SDKs. Your work shapes how Riverty adopts AI in a controlled, interoperable, and platform-centric way.
## Your key responsibilities:
- Design, develop, and operate core AI infrastructure components such as the AI Gateway, Model Router, Policy Layer, and MCP Server.
- Define architecture patterns for secure, scalable, and governed AI integration across all product domains.
- Build internal SDKs, libraries, and tools that enable engineering teams to integrate AI consistently.
- Contribute to technical governance through standards, lifecycle rules, design reviews, and architectural guidance.
- Partner with Enterprise Architecture and Security to ensure alignment and compliance with Riverty-wide guidelines.
- Improve performance, reliability, and cost efficiency of central AI services.
- Enable use case teams by providing frameworks, reusable components, and best practices for AI integration.
- Maintain clear documentation and contribute to a shared architectural knowledge base.
## Your profile:
- Strong background in backend or platform engineering (Java, Python, or TypeScript).
- Experience building APIs, gateways, or distributed systems in cloud-native environments.
- Solid understanding of AI integration patterns (e.g., model APIs, routing, agent protocols).
- Ability to define and implement architectural standards and governance structures.
- Strong software design skills at senior or architect level.
- Focus on long-term maintainability, stability, and interoperability.
- Collaborative working style and clear communication in cross-functional environments.
- Fluent in written and spoken English.