Full-Time

Engineering Manager

AI Engineering & AI Platform

Scalable GmbH

Scalable GmbH

No salary listed

Munich, Germany

Hybrid

Hybrid work arrangement; on-site in Munich, Germany

Bachelor's

Category
Engineering Management (1)
Required Skills
LLM
Python
Infrastructure as Code (IaC)
Docker
AWS
Terraform
Observability
DevOps
Requirements
  • A university degree in a relevant field, such as Computer Science, Software Engineering, Mathematics, Natural Sciences, or a comparable qualification
  • Previous experience in software engineering, backend engineering, platform engineering, cloud engineering, or AI engineering
  • Experience leading engineers as an Engineering Manager, Team Lead, Tech Lead, or in a comparable role
  • Strong understanding of scalable backend systems, cloud-native architectures, API design, and modern software development practices
  • Good knowledge of modern AI system integration, including LLM APIs, agentic workflows, and production-grade AI services
  • Hands-on experience with Python, Docker, CI/CD pipelines, cloud infrastructure, and Infrastructure as Code, preferably AWS and Terraform
  • Understanding of AI platform topics such as observability, governance, data privacy, rate limiting, cost management, and secure LLM usage
  • Passion for people development, technical excellence, and building high-performing engineering teams
  • Strong analytical thinking, both in the technical and business domain
  • Excellent communication skills that are clear, concise, and tailored to engineering, product, and business stakeholders
  • Extreme sense of ownership and a pragmatic, hands-on mentality
Responsibilities
  • Build and lead a new AI Engineering and AI Platform team, helping engineers grow and the team become self-organized, agile, and autonomous
  • Provide technical direction for AI/LLM services, backend systems, AWS architectures, Terraform infrastructure, CI/CD pipelines, and agentic workflows
  • Drive the end-to-end implementation of AI use cases, from ideation and technical scoping to delivery, rollout, monitoring, and maintenance
  • Shape our internal AI platform for model access, MCP server integrations, observability, governance, rate limiting, and cost management
  • Work closely with Data Science, Product, Engineering, Security, Platform, and business stakeholders to identify and deliver high-value AI use cases
  • Establish engineering best practices for reliable, secure, maintainable, and production-grade AI systems
  • Be part of the recruitment process to attract and onboard new colleagues for the team
Desired Qualifications
  • Experience with LangGraph, LiteLLM, Langfuse, Datadog, MCP servers, or similar technologies is a plus

Company Size

N/A

Company Stage

N/A

Total Funding

N/A

Headquarters

N/A

Founded

N/A