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Scalable Capital, a leading European fintech platform with over €50 billion in assets under management and 700+ employees, is seeking an AI Platform Engineer to join its Data Science and AI tribe in Berlin.
You will design and maintain the foundational infrastructure enabling AI Software Engineers to build and scale generative AI applications. Your primary focus will be building an internal AI provisioning platform that provides seamless access to large language models and model context protocol (MCP) servers, with emphasis on observability, governance, and cost efficiency.
Key responsibilities include:
- Developing and maintaining an internal AI provisioning platform to streamline access to various LLMs and MCP servers (e.g., via LiteLLM)
- Implementing comprehensive LLM observability, logging, and alerting systems using tools like Datadog and Langfuse
- Enforcing model governance to ensure security, data privacy, rate limiting, and strict LLM API cost management
- Collaborating closely with embedded AI Software Engineers to support cloud-native architectures and agentic workflow integrations
- Building and maintaining infrastructure for monitoring reliability and performance of production AI systems
Scalable Capital is a digital investment and banking platform with full banking license, offering professional investment services across stocks, ETFs, cryptocurrencies, derivatives, wealth management, and savings plans. The company was founded in 2014 and operates across Munich, Berlin, Vienna, Milan, and London.
Qualifications:
- Bachelor's or Master's degree in Computer Science, Software Engineering, or related field
- Several years of professional experience in Platform Engineering, DevOps, SRE, or backend software development
- Strong experience with cloud infrastructure (AWS preferred) and Infrastructure as Code (Terraform)
- Proficiency in at least one programming language (Python, Go) and experience with CI/CD pipelines and containerization (Docker)
- Solid understanding of API cost management, rate limiting, security best practices, and data privacy for AI models
- Experience with or strong willingness to learn LLM gateways, observability platforms, and telemetry (LiteLLM, Langfuse, Datadog)
- Strong problem-solving skills and ability to thrive in cross-functional team environments
