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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Platform Engineer embedded - **Company:** Descriptionscalable Capital - **Location:** München, Germany - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Cloud Computing, Cloud Engineering, DevOps, Python (Programming Language), Reliability Engineering, Software Engineering, Datadog, Data Logging, Large Language Models, Backend, Rate Limiting, Containerization, AI Platforms, Information Technology, Terraform, Network Server, Docker - **Published:** August 23, 2026 - **Apply:** https://www.jobfinder.de/job/ai-platform-engineer-m-f-x/ ## About the Role maintain an internal AI provisioning platform to streamline access to various LLMs & MCP Servers (e.g., via LiteLLM).Implement comprehensive LLM observability, logging, and alerting systems using tools like Datadog and Langfuse.Enforce model governance, ensuring security, data privacy, rate limiting, and strict LLM API cost management.Collaborate closely with embedded AI Software Engineers to support cloud-native architectures and agentic workflow integrations.Build and maintain infrastructure for monitoring the reliability and performance of production AI systems.QualificationsBachelor's or Master's degree in Computer Science, Software Engineering, or a related field.Several years of professional experience in Platform Engineering, DevOps, SRE, or backend software development.Strong experience and confidence working with cloud infrastructure (AWS preferred) and Infrastructure as Code (Terraform).Proficiency in at least one programming language (e.g., Python, Go) and experience with CI/CD pipelines and containerization (e.g., Docker).Solid understanding of API cost management, rate limiting, security best practices, and data privacy for AI models.Experience with, or a strong willingness to learn, LLM gateways, observability platforms, and telemetry (e.g., LiteLLM, Langfuse, Datadog).Strong problem-solving skills, a sense of humor, and the ability to thrive in an ego-free environment as an embedded platform expert within a cross-functional Data Science and AI team.Additional InformationBe part of one of the fastest-growing and most visible Fintech startups in Europe, creating innovative services that have a substantial impact on the lives of our customersWork with an international, diverse, inclusive, and ever-growing team that loves creating the best products for our clientsBe productive with the latest hardware and toolsLearn and grow by joining our in-house knowledge sharing or career development sessions and spending your individual Education ## Description Munich, Berlin, Vienna, Milan, and London. Together with the founding and management team, including Erik Podzuweit and Florian Prucker, they are working on a new generation of financial services.Visit our finance blog or check out our Social Media channels to find out what our Expert Teams have to say. Our Company Values guide us every day in how we work and collaborate. To learn more about them, you can find our values here (English).Job DescriptionAs an AI Platform Engineer embedded within our Data Science and AI tribe, you will design and maintain the foundational infrastructure that enables our AI Software Engineers to build and scale generative AI applications.You will build our internal AI provisioning platform, focusing on seamless model access, observability, and strict governance. In this role, you will ensure our AI integrations are secure, performant, and cost-effective, providing the robust backbone required for our agentic and LLM-driven workflows.Responsibilities:Develop and ## Related Videos - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [Developing the Backend with Stefan Lingler, CTO at Shpock](https://www.wearedevelopers.com/videos/100360-developing-the-backend-with-stefan-lingler-cto-at-shpock) - [Inside Bitpanda's Tech Stack: Scaling a European Fintech Leader - Markus Dorner](https://www.wearedevelopers.com/videos/1979-inside-bitpanda-s-tech-stack-scaling-a-european-fintech-leader-markus-dorner) - [Docker build without Docker](https://www.wearedevelopers.com/videos/100114-docker-build-without-docker) - [AI-Augmented DevOps with Platform Engineering](https://www.wearedevelopers.com/videos/1614-ai-augmented-devops-with-platform-engineering) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Stephan Gillich - Bringing AI Everywhere](https://www.wearedevelopers.com/magazine/489-stephan-gillich-bringing-ai-everywhere) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development)