> Markdown version of [/jobs/ext/1645280-ai-platform-engineer](https://www.wearedevelopers.com/jobs/ext/1645280-ai-platform-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Platform Engineer - **Company:** Munich Electrification - **Location:** München, Germany (Remote available) - **Contract:** Permanent contract - **Skills:** JavaScript (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Graph Database, Python (Programming Language), Machine Learning, Software Engineering, TypeScript, Cloud Platform System, Data Ingestion, ReactJS, Large Language Models, Generative AI, Backend, Fastapi, Vue.js, Containerization, AI Platforms, Information Technology, Machine Learning Operations, Api Design, Terraform, Docker, User Administration - **Published:** July 5, 2026 - **Apply:** https://de.indeed.com/viewjob?jk=5704c9bba4a2ceff ## About the Role * Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience. * Proven experience as a Software Engineer, Platform Engineer, or an AI/MLOps Engineer with a strong software development background. * Strong proficiency in Python or Go, with a track record of building scalable, production-grade applications. * Experience designing and building APIs and backend services, ideally with frameworks like FastAPI. * A solid understanding of AI/ML concepts, particularly Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and vector databases. * Hands-on experience with Docker and Kubernetes for containerization and orchestration. * Experience with Infrastructure as Code (e.g., Terraform) and cloud platforms (preferably AWS). * Familiarity with modern JavaScript/TypeScript and a UI framework (e.g., React, Vue) for building internal tools is a significant plus. ## Description As an AI Platform Engineer, you will be a key architect of the software and systems that empower our AI-driven initiatives. More than just managing infrastructure, you will be actively building the cohesive, end-to-end platform that enables our teams to develop, deploy, and scale applications rapidly. You will engineer robust backend services, create internal tools, and design the automated workflows that form the foundation of our AI capabilities. If you are a software engineer passionate about building scalable platforms and bringing AI models to life through high-quality code, this is the perfect opportunity for you. As part of your role, you would maintain and develop: * Develop Core Platform Services: Design, build, and operate the backend services and APIs that serve our AI models and manage the ML lifecycle. * Develop the Data Ingestion Platform: Design, build, and maintain the services and automated workflows responsible for populating our vector and graph databases, ensuring our AI applications have access to timely and accurate data * Build Full-Stack Tooling: Create user-facing tools and internal dashboards that allow developers, data scientists and managers to interact with the AI platform. * Own the Application & Model Lifecycle: Implement and maintain the core platform components and ensure the performance of production systems. * Collaborate and Enable: Work closely with software and data science teams to understand their needs, gather requirements for the platform, and provide the tools and support that accelerate their work. ## Related Videos - [Shipping Faster with Less: Render on Cloud Hosting, AI Workloads, and the Future of DevOps](https://www.wearedevelopers.com/videos/1894-shipping-faster-with-less-render-on-cloud-hosting-ai-workloads-and-the-future-of-devops) - [Intro to FastAPI](https://www.wearedevelopers.com/videos/462-intro-to-fastapi) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [Lessons learned from building a thriving Vue.js SaaS application](https://www.wearedevelopers.com/videos/1666-lessons-learned-from-building-a-thriving-vue-js-saas-application) - [AI-Augmented DevOps with Platform Engineering](https://www.wearedevelopers.com/videos/1614-ai-augmented-devops-with-platform-engineering) - [Building and Deploying Multi-Agent Systems with ADK and Vertex AI](https://www.wearedevelopers.com/videos/1918-building-and-deploying-multi-agent-systems-with-adk-and-vertex-ai) ## Related Articles - [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) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [The Most Popular IT Jobs on the Market](https://www.wearedevelopers.com/magazine/376-the-most-popular-it-jobs-on-the-market) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models)