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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Engineer - **Company:** Allianz SE - **Location:** München, Germany - **Contract:** Permanent contract - **Skills:** Agile Methodology, Artificial Intelligence, Component-Based Software Engineering, JIRA, Automation of Tests, Microsoft Azure, Cloud Engineering, Information Systems, Relational Databases, DevOps, Github, Python (Programming Language), PostgreSQL, Machine Learning, Microsoft SQL Server, MongoDB, MySQL, Node.Js, Search Technologies, Software Engineering, TypeScript, User-Centered Design, Datadog, ReactJS, Large Language Models, Prompt Engineering, IT Architecture, Generative AI, Backend, Fastapi, Pytest, Containerization, Kubernetes, Information Technology, Playwright, Cosmos DB, Machine Learning Operations, Front End Software Development, Data Pipelines, Docker - **Published:** July 31, 2026 - **Apply:** https://www.adzuna.de/details/5821441019 ## About the Role * University degree or equivalent in Computer Science, Information Systems, Engineering, Machine Learning, Data Science or related fields * 2-5 years of experience in software engineering or full-stack application development * 1-2 years of hands-on experience with ML or GenAI applications (including project or academic experience) * 3+ years working in agile development teams * Strong proficiency in Python, including ML/GenAI libraries and frameworks such as LangChain, FastAPI, Semantic Kernel, and AutoGen * Practical experience with LLMs, RAG architectures, embeddings, prompt engineering, and basic LLMOps / MLOps concepts * Expertise in modern web development-React, TypeScript, Node.js-and experience delivering both front-end and back-end components * Experience working with vector databases (Azure AI Search, MongoDB, Cosmos DB, pgvector, Chroma, Milvus) * Knowledge of containerization and cloud-native engineering, particularly with Docker, Kubernetes, and Azure services * Familiarity with relational databases such as SQL Server, MySQL, or PostgreSQL * Experience with DevOps and Agile toolchains: Harness, GitHub, JFrog, Jira, Datadog * Ability to build automated tests (unit & integration) using frameworks such as pytest and Playwright * Understanding of component-based architecture, state management, and intuitive UX design principles * Ability to communicate technical concepts clearly * Ability to translate conceptual ideas and business requirements into clear technical solutions * Strong analytical and problem-solving orientation with a creative mindset * Ability to explain technical topics to non-technical stakeholders * Good organizational skills and ability to manage tasks in parallel with guidance * Willingness to learn, take feedback, and grow technical expertise ## Description As an AI Engineer (f/m/d), you will contribute to the design and delivery of enterprise-grade Generative AI (GenAI) and Machine Learning (ML) applications that support operational workflows across the Asset Management business. This role is hands-on and development-focused, driving innovation from early prototyping through scalable production deployment under the guidance of senior engineers and architects. You will collaborate closely with Operations teams, process SMEs, and technology partners to help translate business challenges into secure and scalable AI solutions. This role offers strong learning opportunities in enterprise GenAI and ML delivery within a regulated environment. This position will be based in Munich, Frankfurt, or Hong Kong. What you will do AI Architecture & Engineering * Contribute to the design, development, and implementation of full-stack GenAI and ML applications * Build and integrate data pipelines, retrieval and embedding workflows, and evaluation frameworks for LLM and RAG-based systems * Implement AI components in line with established architectural and engineering standards, also with respect to reusability and scaling * Design and implement robust integration layers that connect AI components with enterprise platforms and operational processes * Support prototype validation and the transition of successful AI solutions into production environments Collaboration & Delivery * Work closely with senior engineers and architects and actively participate in building AI agents * Contribute to documentation, testing, and knowledge sharing within the team * Contribute to solution design through collaboration with SMEs and product owners Responsible AI & Governance * Ensure AI solutions follow responsible AI principles under established governance frameworks * Ensure alignment with compliance, operational integrity, and data-protection requirements across all AI components, * We empower our employees by ensuring flexible work arrangements that maintain a balance between performance, productivity, career development and personal priorities (e.g., hybrid model/ flexible working hours) * Securing your future: Access to company pension/savings plans * Shared success: Company share purchasing plan * Support for what matters: Mental health and wellbeing programs * Investments in your career: Career opportunities within the entire Allianz Group * Investments in your skills: Comprehensive learning and development offerings, including certifications and professional qualifications * Volunteering time * … and so much more! ## Related Videos - [The AI-Ready Stack: Rethinking the Engineering Org of the Future](https://www.wearedevelopers.com/videos/1706-the-ai-ready-stack-rethinking-the-engineering-org-of-the-future) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [Collaboration Quantified: Lessons from Open Source Developer Networks](https://www.wearedevelopers.com/videos/1422-collaboration-quantified-lessons-from-open-source-developer-networks) - [MySQL Protocol Features You Should Be Aware Of](https://www.wearedevelopers.com/videos/100267-mysql-protocol-features-you-should-be-aware-of) - [Inside Mercedes-Benz: How CIO Katrin Lehmann is Empowering 5,000 Developers and Driving Digital Change](https://www.wearedevelopers.com/videos/1360-inside-mercedes-benz-how-cio-katrin-lehmann-is-empowering-5-000-developers-and-driving-digital-change) - [Docker build without Docker](https://www.wearedevelopers.com/videos/100114-docker-build-without-docker) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [The Most Popular IT Jobs on the Market](https://www.wearedevelopers.com/magazine/376-the-most-popular-it-jobs-on-the-market) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Top-Paying Tech Jobs (with Salaries)](https://www.wearedevelopers.com/magazine/372-top-paying-tech-jobs-with-salaries) - [Best Coding Boot Camps in Germany](https://www.wearedevelopers.com/magazine/237-best-coding-boot-camps-in-germany) - [The Biggest German Tech Companies](https://www.wearedevelopers.com/magazine/424-the-biggest-german-tech-companies)