Hybrid AI DevOps Engineer

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About the role

  • AI Development Operations Engineer responsible for the internal AI infrastructure empowering developers. Integrating AI systems into engineering workflows for efficient software design and maintenance.

Responsibilities

  • Develop reusable agent skills for architecture reasoning, secure coding, test generation, debugging and more.
  • Maintain and evolve a skill library aligned with engineering needs and platform adoption.
  • Automate code review, CI checks and troubleshooting with LLM-based workflows.
  • Provide context aware knowledge retrieval across codebases, logs, docs, incidents and design artifacts.
  • Define guidelines for prompt engineering, model evaluation and cost optimization.
  • Implement monitoring, audit logging, performance tracking and access controls.
  • Partner closely with engineering, product and qa-teams.
  • Communicate platform strategy and progress to leadership.
  • Support developers in adopting and maximizing AI based workflows.

Requirements

  • Strong software engineering background (Python + one systems language like Typescript / Java).
  • Experience with LLM APIs (OpenAI, Claude, Gemini) and agent frameworks (LangChain, LlamaIndex).
  • DevOps/MLOps expertise: Kubernetes, Docker, CI/CD, observability.
  • Cloud architecture experience (AWS/GCP/Azure) optimized for AI workloads.
  • Hands-on knowledge of retrieval systems and vector databases (Pinecone, Weaviate, etc.).
  • Solid understanding of security, compliance and safe AI usage.
  • Experience with knowledge graphs, largescale ingestion pipelines, finetuning or advanced prompting.
  • Background in developer experience, internal platforms or productivity engineering.
  • Proven technical leadership and strong cross functional collaboration skills.

Benefits

  • A purpose-driven mission tackling complex sustainability challenges while working alongside global industry pioneers at a fast-growing unicorn company
  • Room for creativity through collaborative teamwork and an open communication culture
  • Flexibility and team bonding with our hybrid work options
  • Fuel for your growth journey, both personally and professionally
  • Sustainable mobility options, promoting eco-friendly commuting solutions
  • Fun team events and outings with our global teams
  • Inspiring workspaces in Mannheim, Munich and Madrid

Job title

AI DevOps Engineer

Job type

Experience level

Mid levelSenior

Salary

Not specified

Degree requirement

No Education Requirement

Location requirements

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