{"id":150780,"title":"Cloud Software Engineer with AI Focus (m/f/d)","company":"TekkMinds AG","city":"München","region":"Bayern","location":"München, BY","work_model":"unknown","employment_type":"full_time","employment":["full_time"],"roles":["devops","data_science"],"visa":"not_mentioned","relocation":"not_mentioned","posted_at":"2026-08-29T00:00:00+00:00","tools":["Java","Python","Spring","REST","Docker","Kubernetes","AWS","Azure"],"seniority":"unknown","years_experience_min":null,"german_requirement":"not_mentioned","german_level":"unspecified","english_requirement":"required","english_level":"unspecified","team_language":"unknown","confidence":0.4,"method":"rules","language_badge":"Not stated","language_evidence":null,"requirements_snippet":"Technical know-how Backend Development: Solid experience in Java/Kotlin and Python Comprehensive experience with Spring (Boot) or Jakarta Enterprise Edition (or comparable) Understanding of REST API design and implementation …","url":"https://tekkminds.com/jobs/cloud-ai-engineer/","source":"careersite","agency":null,"description_text":"Cloud Software Engineer with AI Focus (m/f/d)\n\nWho we are\n\ntekkminds is an innovative company specializing in the development of customized software solutions in the cloud domain. We support our clients from strategic consulting to complete implementation of modern, scalable, and future-proof applications. With our expertise in cloud technologies, AI integration, and IoT, we help companies successfully master their digital transformation.\n\nWhat awaits you\n\nAs a Cloud Software Engineer with AI Focus at tekkminds, you operate at the intersection of classical software development and cutting-edge AI technology. You develop innovative solutions for demanding enterprise clients based on the latest cloud technologies and intelligently integrate AI-powered functionalities. You bring your understanding of existing backend systems and actively shape the future of AI integration.\n\nYour responsibilities\n• AI integration into enterprise systems: Development and implementation of Retrieval-Augmented Generation (RAG) systems for intelligent knowledge extraction\n• MCP server development: Provisioning existing REST APIs as Model Context Protocol (MCP) servers for seamless LLM integration\n• Agent-based architectures: Conception and implementation of AI agents and agent-to-agent communication for complex workflows\n• Cloud-native development: Conception and development of scalable, cloud-native applications with AI components\n• API design and migration: Analysis of existing Java/Kotlin REST APIs and their transformation for AI usage\n• CI/CD for ML/AI: Implementation of MLOps pipelines and DevOps practices for AI models\n• Client consulting: Close collaboration with enterprise clients to develop technical solutions at the intersection of classical software and AI\n• Driving innovation: Continuous development of our internal standards in AI integration\n\nWhat we’re looking for\n\nTechnical know-how\n\nBackend Development:\n• Solid experience in Java/Kotlin and Python\n• Comprehensive experience with Spring (Boot) or Jakarta Enterprise Edition (or comparable)\n• Understanding of REST API design and implementation\n• Hands-on experience with containerization technologies (Docker, Podman)\n• Knowledge of Kubernetes/OpenShift and cloud platforms (AWS, Azure, GCP)\n• Practical experience with CI/CD tools (GitLab, GitHub, Jenkins, AWS CodeBuild/CodePipeline, Azure DevOps)\n\nAI & ML (Nice-to-have, but willingness to learn is mandatory):\n• Basic understanding of Large Language Models (LLMs) and their applications\n• Interest in Retrieval-Augmented Generation (RAG), vector databases, and embedding techniques\n• Familiarity with Model Context Protocol (MCP) or willingness to intensively learn it\n• Ideally first experiences with agent frameworks or orchestration\n• Optional: Knowledge in model fine-tuning, prompt engineering, or MLOps\n• Willingness to continuously learn rapidly evolving AI technologies\n\nBonus:\n• Experience with LangChain, LlamaIndex, LangChain4J, or comparable frameworks\n• Knowledge of vector databases (Pinecone, Weaviate, Qdrant, ChromaDB)\n• Understanding of GitOps principles and tools like ArgoCD or Flux\n\nPersonal qualities\n• Strong interest in AI topics and motivation to stay current in this dynamic field\n• Experience in agile software development teams\n• Bridge-builder mentality: You understand both the classical backend world and AI concepts\n• Problem-solving oriented mindset with the ability to penetrate complex systems\n• Curiosity and willingness to learn rapidly evolving technologies\n• Team spirit and strong communication skills, especially in client contact\n• Pragmatic approach: You find the balance between innovation and practical feasibility\n\nWhat we offer\n• Pioneering work in a future field: Work at the forefront of AI integration in enterprise systems with real client projects\n• Learning budget & education: Generous budget for courses, certifications, and conferences in the AI field – we invest in your development\n• Technology diversity: Work with cutting-edge AI frameworks, cloud platforms, and enterprise technologies\n• Professional challenge: Demanding, varied projects with renowned enterprise clients\n• Recognition of your work: An attractive, market-competitive salary that values your expertise\n• Technical freedom: You decide on your tech setup – choose the laptop and phone that suits you\n• Knowledge exchange: Active participation in meetups, conferences, and internal talks – also as a speaker. Access to leading AI communities\n• Room for creativity: Write blogs and technical articles during your working hours. Share your insights on AI integration\n• Shared growth: Regular internal events with presentations on current AI trends and projects\n• Creative freedom: Your ideas for AI innovations count! We encourage you to start your own initiatives and take responsibility for internal projects\n• Innovation Lab: Time for experiments with new AI technologies and proof-of-concepts\n• Continuous education: Regular training sessions and time for personal development\n• Central location: Beautiful, modern office in central Munich with excellent transport connections\n\nDoes this sound like you?\n\nYou don’t have to be an AI expert, but you should bring genuine interest in AI technologies and be willing to intensively learn this exciting field. If you have solid backend development skills and want to shape the future of AI integration, then you’re right for us!\n\nSend us your CV and tell us in a few sentences which experiences or projects (including private/experimental ones) you already have in the AI field!\n\nContact:\n\n[entfernt] email at: [entfernt]\n\nAt tekkminds, we believe in the power of diversity. We welcome applications from all qualified candidates, regardless of age, gender, origin, or background.","responsibilities_text":"• AI integration into enterprise systems: Development and implementation of Retrieval-Augmented Generation (RAG) systems for intelligent knowledge extraction\n• MCP server development: Provisioning existing REST APIs as Model Context Protocol (MCP) servers for seamless LLM integration\n• Agent-based architectures: Conception and implementation of AI agents and agent-to-agent communication for complex workflows\n• Cloud-native development: Conception and development of scalable, cloud-native applications with AI components\n• API design and migration: Analysis of existing Java/Kotlin REST APIs and their transformation for AI usage\n• CI/CD for ML/AI: Implementation of MLOps pipelines and DevOps practices for AI models\n• Client consulting: Close collaboration with enterprise clients to develop technical solutions at the intersection of classical software and AI\n• Driving innovation: Continuous development of our internal standards in AI integration","requirements_text":"Technical know-how\nBackend Development:\n• Solid experience in Java/Kotlin and Python\n• Comprehensive experience with Spring (Boot) or Jakarta Enterprise Edition (or comparable)\n• Understanding of REST API design and implementation\n• Hands-on experience with containerization technologies (Docker, Podman)\n• Knowledge of Kubernetes/OpenShift and cloud platforms (AWS, Azure, GCP)\n• Practical experience with CI/CD tools (GitLab, GitHub, Jenkins, AWS CodeBuild/CodePipeline, Azure DevOps)\nAI & ML (Nice-to-have, but willingness to learn is mandatory):\n• Basic understanding of Large Language Models (LLMs) and their applications\n• Interest in Retrieval-Augmented Generation (RAG), vector databases, and embedding techniques\n• Familiarity with Model Context Protocol (MCP) or willingness to intensively learn it\n• Ideally first experiences with agent frameworks or orchestration\n• Optional: Knowledge in model fine-tuning, prompt engineering, or MLOps\n• Willingness to continuously learn rapidly evolving AI technologies\nBonus:\n• Experience with LangChain, LlamaIndex, LangChain4J, or comparable frameworks\n• Knowledge of vector databases (Pinecone, Weaviate, Qdrant, ChromaDB)\n• Understanding of GitOps principles and tools like ArgoCD or Flux\nPersonal qualities\n• Strong interest in AI topics and motivation to stay current in this dynamic field\n• Experience in agile software development teams\n• Bridge-builder mentality: You understand both the classical backend world and AI concepts\n• Problem-solving oriented mindset with the ability to penetrate complex systems\n• Curiosity and willingness to learn rapidly evolving technologies\n• Team spirit and strong communication skills, especially in client contact\n• Pragmatic approach: You find the balance between innovation and practical feasibility","status":"open","duplicate_of":null,"first_seen":"2026-11-04T18:47:45.703968+00:00","responsibilities_summary":null,"requirements_summary":null,"all_tools":["Java","Python","Spring","REST","Docker","Kubernetes","AWS","Azure","Google Cloud","CI/CD","GitLab","GitHub","Jenkins","Azure DevOps","LLM","RAG","MLOps","LangChain","LlamaIndex","Pinecone","Weaviate","Qdrant","Argo CD","Agile"],"posting_language":"en","evidence":[],"years_experience_max":null,"mobility_evidence":[],"model_version":"rules-8","english_badge":"English required","company_id":20418}