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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Engineer - **Company:** Allianz SE - **Location:** München, Germany - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Airflow, Microsoft Azure, Information Engineering, Data Governance, Python (Programming Language), Machine Learning, Cloud Services, Azure Machine Learning, Search Technologies, SQL Databases, Azure Data Factory, Retrieval-Augmented Generation, Large Language Models, Multi-Agent Systems, Prompt Engineering, Generative AI, AI Platforms, Pyspark, Data Management, Machine Learning Operations, Restful APIs, Databricks - **Published:** August 3, 2026 - **Apply:** https://de.indeed.com/viewjob?jk=dac5998b3e36258d ## About the Role * 4+ years of relevant professional experience in AI, GenAI, machine learning, data engineering, automation, or related technology roles. * Hands-on experience with technologies such as Python, SQL, REST APIs, PySpark, LangChain, Semantic Kernel, or equivalent frameworks. * Experience supporting or developing GenAI solutions using large language models, prompt engineering, retrieval-augmented generation, embeddings, vector search, or AI orchestration patterns. * Experience or strong exposure to AI platforms and cloud services such as Databricks, Microsoft AI Foundry / Azure AI services, Azure OpenAI, MLflow, model serving, or equivalent platforms. * Understanding of responsible AI, model governance, AI quality monitoring, prompt evaluation, data governance, security, and access control principles. * Experience supporting AI, data, or machine learning workflows using tools such as Databricks Workflows, Azure Data Factory, Airflow, Prefect, or similar technologies. * Ability to collaborate effectively with technical and business stakeholders, apply sound judgement, and solve moderately complex AI engineering challenges. ## Description PIMCO Prime Real Estate is looking for an AI Engineer (m/f/d) to join our Data and AI team in Munich at the earliest possible date. In this role, you will support the development and implementation of practical AI and generative AI solutions across our enterprise platforms. The role focuses on translating business requirements and governed data assets into practical AI capabilities, including generative AI applications, retrieval-augmented generation, embeddings, prompt frameworks, intelligent automation, and machine learning models where applicable. The AI Engineer will work closely with data, technology, and business stakeholders to help deliver secure, reliable, scalable, and governed AI solutions., * Develops, configures, and supports AI, generative AI, and machine learning solution components for deployment, integration, and operational use. * Contributes to the development of GenAI applications, retrieval-augmented generation flows, embeddings, prompt frameworks, workflow automation, and AI-enabled capabilities. * Supports the implementation of responsible AI practices, including prompt controls, response evaluation, model monitoring, AI quality checks, security controls, and documentation. * Works with Data Scientists, Data Engineers, Data Stewards, Architects, Product Owners, and business stakeholders to understand requirements and implement practical AI solutions. * Supports AI solution documentation, lineage, metadata, evaluation results, monitoring outputs, and operational event logs. * Helps monitor AI solution quality and supports issue investigation, remediation, and continuous improvement. * Contributes to improvements in AI solution reliability, performance, observability, security, scalability, and operational resilience. ## Related Videos - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [Cutting LLM Costs Without Cutting Quality: How to Beat Proprietary LLMs with Fine-Tuned Open Source](https://www.wearedevelopers.com/videos/100151-cutting-llm-costs-without-cutting-quality-how-to-beat-proprietary-llms-with-fine-tuned-open-source) - [Agentic AI - From Theory to Practice: Developing Multi-Agent AI Systems on Azure](https://www.wearedevelopers.com/videos/1532-agentic-ai-from-theory-to-practice-developing-multi-agent-ai-systems-on-azure) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [AI Model Management Life Circles: ML Ops For Generative AI Models From Research to Deployment](https://www.wearedevelopers.com/videos/1152-ai-model-management-life-circles-ml-ops-for-generative-ai-models-from-research-to-deployment) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Stephan Gillich - Bringing AI Everywhere](https://www.wearedevelopers.com/magazine/489-stephan-gillich-bringing-ai-everywhere) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Got AI ideas but no money? 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