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DevOps Engineer with AI/ML Evaluation Focus

Agilerobotsse · Munich, Bavaria

<h4>About the Position:</h4> <p>We are looking for an experienced, motivated mid-level professional for a dual role: classic IT DevOps responsibilities combined with the evaluation and support of AI/ML models and vendors. This position is a great fit for someone who wants to combine technical infrastructure expertise with an interest in current AI/ML developments. The role sits in internal IT and is not part of robotics product development. The two areas are not equally plannable: production operations take precedence, and AI/ML evaluation runs as project work around operational load.</p> <h4>Responsibilities :</h4> <p></p> <ul> <li><strong>CI/CD, Automation &amp; Software Development:</strong> Build, maintain, and improve CI/CD pipelines using GitLab CI and Jenkins; automate recurring operational processes; collaborate with development teams on deployment processes; develop small-scale internal software for IT and other internal departments; support software integrations, particularly Entra ID, Active Directory, and SSO.</li> <li><strong>Cloud, Infrastructure &amp; Operations:</strong> Manage and optimize AWS, Azure, and GCP infrastructure; use Infrastructure as Code (Terraform, Ansible), Docker and Kubernetes on select projects (not a global standard); operate the largely Linux-based landscape (approx. 80–85% Ubuntu), including patch/update management; ensure availability, scalability, security, monitoring, logging and alerting (Prometheus, Grafana, ELK); manage backup/disaster recovery and cloud cost optimization.</li> <li><strong>Production Support &amp; AI/ML Evaluation:</strong> Manage incidents and troubleshoot production environments (no on-call rota currently planned; if introduced, it will be agreed and compensated separately); evaluate AI/ML models and vendors (e.g. OpenAI, Anthropic, Google, Microsoft Azure AI) for performance, cost, suitability, cost-benefit, and licensing; evaluate open-weight/self-hosted models (e.g. vLLM, Ollama) where data residency, data protection, or cost requirements make external APIs unsuitable.</li> <li><strong>AI/ML Testing, Integration &amp; Support:</strong> Define objective AI/ML test criteria and benchmarks with the team lead; build and maintain evaluation datasets and re-run them after new model versions to detect regressions; support integration into existing systems/workflows, including RAG and agent tooling; act as first point of contact for technical AI/ML issues, providing first-level support and escalating to the team lead.</li> <li><strong>AI Governance, Compliance &amp; Enablement:</strong> Document model best practices, limitations, and use cases; track market developments; collaborate with business departments to identify new use cases; support compliance on data protection, security, and AI regulations, particularly the EU AI Act and GDPR (internal deployer-side use, not product conformity); train and enable internal staff on AI/ML tools, contributing to AI literacy under Art. 4 of the EU AI Act and internal AI governance/use guidelines</li> </ul> <h4>Your Profile:</h4> <ul> <li>Completed degree in Computer Science, IT, or comparable professional experience</li> <li>2 to 4 years of experience in a DevOps environment</li> <li>Hands-on experience with CI/CD tooling; both GitLab CI and Jenkins are in use</li> <li>Experience with at least one major public cloud (AWS, Azure, or GCP); all three are in use</li> <li>Solid experience operating Linux systems (Ubuntu), as the large majority of systems run on it</li> <li>Experience with containerization (Docker); Kubernetes knowledge is a plus, as it is used on a per-project basis</li> <li>Solid working knowledge of the core DevOps toolchain: Infrastructure as Code (Terraform, Ansible), scripting&nbsp;(Python, Bash), and monitoring, logging, and alerting (e.g. Prometheus, Grafana, ELK Stack)</li> <li>Basic knowledge or hands-on experience working with AI/ML models or APIs (e.g., LLM providers)</li> <li>An analytical mindset for objectively evaluating tools and vendors</li> <li>Strong communication skills for collaborating with technical and non-technical teams</li> <li>Fluent in English, spoken and written</li> </ul> <p></p><div class="content-conclusion"><h3 class="TranslationField-module__fieldItemName___Q0F_7 TranslationField-module__aboutUsWrapper___WXJpq"><strong>What we offer</strong></h3> <ul> <li> <div>A dynamic high-tech company, combined with financial soundness and world-class investors.</div> </li> <li> <div>Join an interdisciplinary, international team with 60+ different nationalities in a collaborative work environment.</div> </li> <li> <div>Lots of development opportunities as we continue to grow.</div> </li> <li> <div>Challenging tasks and impactful projects alongside experts that enable professional and personal growth.</div> </li> <li> <div>Corporate Benefits Program covering health, mobility, and learning for 100€ net per month.</div> </li> <li> <div>Modern office facilities with a rooftop terrace overlooking Munich, free drinks &amp; fruits, and regular company events contribute to a good working environment</div> </li> </ul> <h3><strong>About us</strong></h3> <div class="TranslationField-module__fieldItemValue___c0djd"> <p><strong>Agile Robots SE</strong> is an international high-tech company based in Munich, Germany with a production site in K

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