Full-Time

AI Platform Engineer

m/f/x

Scalable Capital Bank

Scalable Capital Bank

No salary listed

Berlin, Germany

Hybrid

International relocation support available if required.

Bachelor's, Master's

Category
DevOps & Infrastructure (1)
Required Skills
LLM
Datadog
Python
Docker
AWS
Go
Terraform
Observability
DevOps
Requirements
  • Bachelor’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.
Responsibilities
  • Develop and 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.
Scalable Capital Bank

Scalable Capital Bank

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