Tech Lead - Applied AI and Infrastructure | Tech Lead (m/w/d) - Applied AI und Infrastructure

Deep Content GmbH

Hannover, Niedersachsen, Deutschland
Published Oct 21, 2025
Full-time
No information

Job Summary

This Tech Lead position focuses on Applied AI and Infrastructure, requiring a professional to take responsibility for the overall technical architecture, security, and product velocity within an AI-centric environment. Key responsibilities include defining the architecture for complex systems such as LLM Gateways, Retrieval-Augmented Generation (RAG), and workflow orchestration, while simultaneously managing customer projects. The role demands establishing a Tech Radar and Architecture Decision Records (ADRs), making quick and transparent 'Build vs. Buy' decisions, and standardizing operational excellence through Observability (OpenTelemetry), monitoring, and CI/CD processes to optimize the Developer Experience. Candidates must possess a strong hands-on mentality, actively contributing code using technologies like Kubernetes, Java/TypeScript, PHP Laravel, and Python. Ideal applicants will bring approximately six years of relevant experience, proven team leadership, and deep expertise in cloud orchestration, event architecture, and essential security/privacy frameworks (GDPR, SSO, RBAC). The position offers significant creative freedom and the possibility of 100% remote work.

Required Skills

Education

Not specified

Experience

  • Approximately six years in Software Engineering (SaaS/Cloud) including architecture responsibility
  • Several years of practical experience with LLMs/RAG
  • Team leadership experience in small, high-performing teams
  • Demonstrated decision-making competence through Tech Evaluations (ADRs or Tech Radar)
  • Professional experience in establishing operational excellence (Observability, Evals, Incident Management)

Languages

German (Fluent)English (Fluent)

Additional

  • 100% remote work possible (or hybrid working within Germany); Strong hands-on mentality required, including explicit programming contribution to projects.