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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Platform Engineer - **Company:** Deluxe Media Inc. - **Location:** Germany (Remote available) - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Airflow, Application Release Automation, Batch Processing, Computer Programming, Continuous Integration, Data as a Services, DevOps, Distributed Systems, Python (Programming Language), Machine Learning, Open Source Technology, Runbook, Software Engineering, Management of Software Versions, AI Infrastructure, Data Logging, Cloud Platform System, Delivery Pipeline, Large Language Models, AI Platforms, Kubernetes, Machine Learning Operations, Api Design, Docker - **Published:** August 29, 2026 - **Apply:** https://bydeluxe.wd5.myworkdayjobs.com/Deluxe_External/job/DE-Germany-Home-Office/AI-Platform-Engineer_R0016327 ## About the Role * Experience in MLOps, AI platform engineering, DevOps, software engineering, or production ML operations. * Experience deploying or operating AI/ML models, inference services, data services, or API-based production systems. * Strong scripting or programming skills using Python or similar languages. * Experience with containers, CI/CD, cloud environments, monitoring, and operational automation. * Understanding of model deployment concepts, model lifecycle management, versioning, validation, and rollback. * Experience troubleshooting production systems across application, model, infrastructure, and deployment layers. Preferred Qualifications * Experience with model-serving frameworks, MLOps platforms, Kubernetes, Docker, ECS, EKS, MLflow, KServe, BentoML, Ray, Airflow, or similar technologies. * Experience supporting LLMs, agentic workflows, RAG systems, speech models, translation models, or other applied AI services. * Experience with GPU-backed inference, batch processing, distributed systems, or high-throughput workloads. * Experience with AWS services used for compute, storage, networking, security, monitoring, and deployment. * Experience with media, localization, dubbing, content workflows, ASR, MT, TTS, or language technologies. * Experience evaluating or integrating commercial and open-source AI platforms ## Description Deluxe is seeking an AI Platform Engineer to help operate, automate, and improve production AI services used across media, localization, workflow automation, and application platforms. This role sits at the intersection of MLOps, platform engineering, DevOps, and production operations. The AI Platform Engineer will focus on making AI systems reliable and usable in production. This includes model deployment, inference services, monitoring, release automation, observability, performance, cost optimization, and operational support. The role will work closely with AI Engineers, Cloud Platform Engineers, product teams, and application engineering teams to ensure AI capabilities can be safely and consistently delivered into Deluxe workflows and products., * Build and operate platforms for deploying, monitoring, and maintaining production AI models and services. * Support model-serving environments, inference pipelines, deployment workflows, and release automation. * Develop automation for model packaging, promotion, validation, rollout, rollback, and lifecycle management. * Implement monitoring, logging, alerting, and observability for AI services, including performance, latency, availability, error rates, and cost. * Partner with AI Engineers to move models, workflows, and AI services from prototype to production. * Partner with cloud platform, infrastructure, and application teams to ensure AI services run on secure, scalable, and reliable environments. * Help define operational standards for production AI systems, including runbooks, incident response, testing, and release readiness. * Support batch and real-time AI workloads where applicable. * Troubleshoot issues related to model serving, API behavior, environment configuration, infrastructure, and deployment pipelines. * Build reusable patterns for AI service deployment and integration across Deluxe applications. * Contribute to evaluation and adoption of MLOps tools, model-serving frameworks, observability platforms, and AI infrastructure technologies. ## Related Videos - [DevOps for AI: running LLMs in production with Kubernetes and KubeFlow](https://www.wearedevelopers.com/videos/1222-devops-for-ai-running-llms-in-production-with-kubernetes-and-kubeflow) - [Technical Documentation - How Can I Write Them Better and Why Should I Care?](https://www.wearedevelopers.com/videos/681-technical-documentation-how-can-i-write-them-better-and-why-should-i-care) - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [3 Key Steps for Optimizing DevOps Workflows](https://www.wearedevelopers.com/videos/962-3-key-steps-for-optimizing-devops-workflows) - [Developer Experience, Platform Engineering and AI powered Apps](https://www.wearedevelopers.com/videos/990-developer-experience-platform-engineering-and-ai-powered-apps) ## Related Articles - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production)