> Markdown version of [/jobs/ext/4665195-senior-ai-engineer](https://www.wearedevelopers.com/jobs/ext/4665195-senior-ai-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). --- # Senior AI Engineer - **Company:** PATRIZIA AG - **Location:** Frankfurt am Main, Germany (Remote available) - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Automation of Tests, Microsoft Azure, Continuous Integration, Data Infrastructure, Software Engineering, Enterprise Data Management, Retrieval-Augmented Generation, Claude Code, Generative AI, Agentic-AI, Git, Information Technology, Data Management, Databricks - **Published:** November 11, 2026 - **Apply:** https://www.careerjet.de/jobad/def1ba3b99f3d8206d51bc739802a08989 ## About the Role As a highly skilled and hands-on Senior AI Engineer (m/f/d) you will play a key role in our technology team., * Several years of hands-on software engineering experience; degree in computer science or a related field * Proven experience building LLM-based applications or agents in production (e.g. Claude API, tool use, RAG, MCP, agent frameworks) * Practical experience with Databricks or comparable data platforms; Azure knowledge is a plus * A "code, test, improve" mindset with solid practice in Git, CI/CD and automated testing * Genuine passion for AI, high AI literacy and the drive to keep pace with a fast-moving field * Quick grasp of business context and clear communication; fluent English, German and knowledge of real assets or financial services are a plus ## Description * Design, build and run custom AI agents for investment management, investment operations, sales, finance and other business functions * Translate business requirements into agentic solutions together with business stakeholders, from first prototype to production * Develop AI solutions on Databricks and the Claude API, including tool use, retrieval (RAG) and integration with enterprise data and systems * Establish evaluation, testing and monitoring for AI agents, covering quality, cost, latency and guardrails * Ensure solutions meet AI governance, security and regulatory requirements (e.g. EU AI Act, GDPR) * Set engineering standards for AI development and coach colleagues in the Data & AI Engineering team