# Senior AI DevOps / LLMOps at TechBiz Global GmbH > Remote · Europe · Senior · DevOps / SRE / Infra · open. Source: https://alderhq.app/jobs/recruitee%3Atechbizglobal%3A2646754 (read 2026-11-12). ## Facts (observed) - Company: [TechBiz Global GmbH](https://alderhq.app/companies/techbiz-global-gmbh) - Location text: Krakow, Podlaskie, Poland; Krosno, Dolnośląskie, Poland; Lublin, Lubelskie, Poland; Poland, Mazowieckie, Poland; Poznan, Wielkopolskie, Poland; Warsaw, Warmińsko-Mazurskie, Poland; Pilsen, Plzeňský kraj, Czechia; Praha, Praha, Hlavní město, Czechia; Riga, Rīga, Latvia; Vilnius, Vilniaus apskritis, Lithuania; Athens, Attikí, Greece; Crete, Kríti, Greece; Budapest, Budapest, Hungary; Miskolc, Borsod-Abaúj-Zemplén, Hungary; Brussels, Brussels, Belgium; Liège, Walloon Region, Belgium; Mons, Walloon Region, Belgium; Namur, Walloon Region, Belgium; Sofia, Sofia, Bulgaria; Bordeaux, Nouvelle-Aquitaine, France; Grenoble, Auvergne-Rhône-Alpes, France; Lille, Hauts-de-France, France; Lyon, Auvergne-Rhône-Alpes, France; Montpellier, Occitanie, France; Nantes, Pays-de-la-Loire, France; Paris, Île-de-France, France; Toulouse, Occitanie, France; Baden-Baden, Baden-Württemberg, Germany; Bad Homburg, Hessen, Germany; Augsburg, Bayern, Germany; Aachen, Nordrhein-Westfalen, Germany; Bergisch Gladbach, Nordrhein-Westfalen, Germany; Berlin, Berlin, Germany; Bernau, Brandenburg, Germany; Bielefeld, Nordrhein-Westfalen, Germany; Bramsche, Niedersachsen, Germany; Chemnitz, Sachsen, Germany; Darmstadt, Hessen, Germany; Darmstadt, Hessen, Germany; Dresden, Sachsen, Germany; Dresden, Sachsen, Germany; Dusseldorf, Nordrhein-Westfalen, Germany; Düsseldorf, Rheinland-Pfalz, Germany; Essen, Nordrhein-Westfalen, Germany; Frankfurt, Hessen, Germany; Freiburg, Baden-Württemberg, Germany; Geoergsmarienhütte, Niedersachsen, Germany; Görlizt, Sachsen, Germany; Göttingen, Niedersachsen, Germany; Greifswald, Mecklenburg-Vorpommern, Germany; Halle, Sachsen-Anhalt, Germany; Hamburg, Hamburg, Germany; Hannover, Niedersachsen, Germany; Heinsberg, Nordrhein-Westfalen, Germany; Karlsruhe, Baden-Württemberg, Germany; Kiel, Schleswig-Holstein, Germany; Koln, Nordrhein-Westfalen, Germany; Leipzig, Sachsen, Germany; Leverkusen, Nordrhein-Westfalen, Germany; Lingen, Niedersachsen, Germany; Magdeburg, Sachsen-Anhalt, Germany; Mainz, Rheinland-Pfalz, Germany; Mittenwalde, Brandenburg, Germany; Munich, Bayern, Germany; Münster, Nordrhein-Westfalen, Germany; Münster, Nordrhein-Westfalen, Germany; Neu-Ulm, Bayern, Germany; Neuruppin, Brandenburg, Germany; Neuss, Nordrhein-Westfalen, Germany; Nuremberg, Bayern, Germany; Osnabrück, Niedersachsen, Germany; Paderborn, Nordrhein-Westfalen, Germany; Potsdam, Brandenburg, Germany; Quedlinburg, Sachsen-Anhalt, Germany; Rimbach, Hessen, Germany; Rostock, Mecklenburg-Vorpommern, Germany; Schwerin, Mecklenburg-Vorpommern, Germany; Stuttgart, Baden-Württemberg, Germany; Ulm, Baden-Württemberg, Germany; Varel, Niedersachsen, Germany; Viechtach, Bayern, Germany; Warendorf, Nordrhein-Westfalen, Germany; Wiesbaden, Hessen, Germany; Wuppertal, Nordrhein-Westfalen, Germany; Lisbon, Lisboa, Portugal; Porto, Lisboa, Portugal; Zagreb, Zagrebačka županija, Croatia; Zagreb, Grad Zagreb, Croatia; Sarajevo, Federacija Bosne i Hercegovine, Bosnia and Herzegovina - Where it can be done from (inferred): Remote · Europe (evidence: "Remote role open worldwide") - Posted: 2026-06-19 (146 days ago) - First seen by alder: 2026-11-07 · last verified: 2026-11-07 - Reposted: 0 times · edited: 0 times - Apply on the employer's site: https://jobs.techbiz.global/o/senior-ai-devops-llmops - Skills listed (inferred): AWS, Azure, Kubernetes, Terraform, LLMs ## Pay and sponsorship - Posted pay: not posted ## Description (the employer's text) At TechBiz Global, we are providing recruitment service to our TOP clients from our portfolio. We are currently seeking an Senior AI DevOps / LLMOps specialist to join one of our clients' teams. If you're looking for an exciting opportunity to grow in a innovative environment, this could be the perfect fit for you. ### Key Responsibilities Automation of Build-to-Production - Design and implement robust CI/CD pipelines tailored for AI, covering model weights, dataset versioning, and application code. - Develop specialized workflows for PromptOps, ensuring that system prompts are version-controlled, tested for regressions, and deployed with the same rigor as traditional code. -Automate the deployment of Agentic workflows, managing the complexities of stateful AI interactions and multi-agent handoffs. 2. AI Infrastructure as Code (IaC) - Provision and manage high-performance compute environments (GPU clusters, TPU pods) using Terraform, Pulumi, or Ansible. - Define and enforce Policy-as-Code for AI endpoints to ensure compliance with security, cost-usage limits, and data residency requirements. - Maintain a consistent environment across Hybrid Infrastructure, ensuring seamless parity between On-Premises development and Cloud production. 3. Safe Experimentation & Controlled Releases - Architect Progressive Delivery strategies for AI, including Canary releases, Blue-Green deployments, and Shadowing (where new models run in parallel with production to compare outputs). - Build “Evaluation-in-the-Loop” gates within the pipeline to automatically test for bias, hallucination, and performance degradation before a release. - Implement A/B testing frameworks specifically designed for LLM outputs and agentic behavior. 4. Monitoring & Observability - Establish deep observability into Inference Endpoints, tracking metrics like tokens-per- second, latency, and drift in model accuracy. -Integrate feedback loops that capture production “edge cases” to feed back into the training and fine-tuning pipelines. ### Requirements ### Must-Have Technical Skills -Orchestration: Advanced Kubernetes (K8s) skills, specifically with KubeFlow, Ray, or NVIDIA Triton. -CI/CD & IaC: Expertise in GitHub Actions/GitLab CI, and Terraform or Pulumi. - AI Tooling: Experience with Weights & Biases, MLflow, LangSmith, or Arize Phoenix. -Hardware: Understanding of GPU virtualization, CUDA drivers, and on-premises hardware management. -Security: Familiarity with Open Policy Agent (OPA) and secret management (Vault). ### Experience - 10+ years in DevOps, SRE, or Cloud Engineering. - 2+ years of hands-on experience in MLOps or LLMOps, specifically moving LLMs from notebook to production. -Proven experience managing Hybrid Cloud environments (e.g., AWS/Azure + Private Data Center). --- Data: alder (https://alderhq.app). Cite https://alderhq.app/jobs/recruitee%3Atechbizglobal%3A2646754 and the date you read it. Observed facts come from the employer's own listing; location reach, level, family and skills are inferences.