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# AI Engineer

- **Company:** PATRIZIA AG
- **Location:** Frankfurt am Main, Germany (Remote available)
- **Contract:** Permanent contract
- **Skills:** Clean Code Principles, Application Programming Interfaces (APIs), Artificial Intelligence, Software Applications, Automation of Tests, Microsoft Azure, Cloud Computing, Cloud Engineering, Cyber Security, Continuous Integration, Information Engineering, Identity and Access Management, Python (Programming Language), Software Construction, Software Engineering, SQL Databases, Data Logging, Retrieval-Augmented Generation, Large Language Models, Prompt Engineering, Model Validation, Backend, AI Platforms, Uipath, Data Lakehouse, Virtual Agents, Software Version Control, Data Pipelines, Databricks
- **Published:** August 20, 2026
- **Apply:** https://www.adzuna.de/details/5829311903

## About the Role

* Strong practical experience in developing AI agents, AI-powered applications, or complex automation solutions using large language models
 * Hands-on experience with modern foundation models and AI development environments, ideally including Anthropic Claude and Microsoft Azure AI services
 * Solid software development experience, preferably with Python, and a good understanding of APIs, backend development, data pipelines, and cloud-native application design
 * Experience with cloud platforms, ideally Microsoft Azure, including deployment, security concepts, identity and access management, monitoring, and scalable infrastructure patterns
 * Experience with Databricks, data lakehouse architectures, data engineering, SQL, or analytics environments is highly desirable
 * Understanding of retrieval-augmented generation, agent orchestration, tool use, prompt engineering, model evaluation, and responsible AI principles
 * Ability to translate business processes and user needs into pragmatic technical solutions that deliver measurable business value
 * Structured problem-solving mindset, strong analytical skills, and the ability to work independently in an emerging and fast-moving technology field
 * Strong communication skills and the ability to collaborate effectively with both technical teams and non-technical business stakeholders
 * Awareness of information security, data protection, regulatory, and governance requirements related to enterprise AI solutions
 * Fluent in English; German is a plus

## Description

* Design, develop, and implement AI agents that execute complex, multi-step business tasks end-to-end within defined guardrails
 * Use Anthropic Claude, Microsoft Azure, Databricks, and related AI and cloud technologies to build scalable, reliable, and secure agentic applications
 * Work closely with business departments to identify high-value use cases, understand business processes, co-design AI agent concepts, and translate requirements into technical solutions
 * Develop proof of concepts and prototypes rapidly, validate feasibility and business value, and evolve successful solutions into production-ready applications
 * Implement integrations with enterprise data sources, APIs, workflow systems (Bizagi), RPA solutions (UIPath), document repositories, and Databricks-based data products
 * Develop prompt logic, orchestration flows, retrieval-augmented generation patterns, evaluation frameworks, and automated tests for AI agent performance and reliability
 * Apply software engineering best practices including clean coding, version control, CI/CD, testing, monitoring, logging, documentation, and maintainable architecture
 * Ensure that AI agents are designed with appropriate security, privacy, access control, auditability, explainability, and human oversight mechanisms
 * Collaborate with data engineering, information security, compliance, and business teams to ensure solutions are aligned with enterprise architecture and AI governance requirements
 * Support controlled rollout, user testing, feedback collection, adoption, and continuous improvement of AI agents in business operations
 * Contribute to the development of reusable AI engineering patterns, standards, templates, and best practices to scale agent development across the organization


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