> Markdown version of [/jobs/ext/1982585-ai-engineer](https://www.wearedevelopers.com/jobs/ext/1982585-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). --- # AI Engineer - **Company:** Alasco GmbH - **Location:** München, Germany - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Code Review, Information Engineering, Software Debugging, Python (Programming Language), Software Product Management, TypeScript, Unstructured Data, Large Language Models, Code Restructuring - **Published:** August 8, 2026 - **Apply:** https://eu.experteer.com/career/view-jobs/ai-engineer-m-f-d-muenchen-bayern-deutschland-58831044 ## About the Role Experteer Overview In this role you will build autonomous, agent-driven capabilities for Alasco's real estate finance platform. You'll own end-to-end agentic workflows, establish eval-driven development, and work across dashboards, reporting, valuations, and planning. You'll implement LLM operations and observability to ensure reliability in a finance-critical domain, collaborating with customers and stakeholders to make trade-offs explicit. This is a hands-on opportunity to shape the AI core that powers real-time forecasting and anomaly detection at scale. Join a mission-driven team delivering tangible impact in real estate decision-making. Pay / Benefits * Develop end-to-end autonomous workflows that handle complex tasks * Establish evaluation frameworks and ground-truth sets to measure agent reliability * Collaborate across AI product areas like dashboards, reporting, valuations, and planning * Implement LLM ops and observability to monitor, trace, and scale reliability * Engage with customers and internal stakeholders to inform decisions * Articulate trade-offs openly and manage time, cost, UX, and quality considerations Tasks * Proven product software experience with TypeScript and Python * Deep understanding of LLM infrastructure and agent architectures * Expertise in context and data engineering for unstructured data * Strong debugging, refactoring, and code-review skills * Experience with AI coding tools and clear handoff practices * Fluent German and English Key requirements * hybrid work model (2 days in Munich, 3 days remote) * VSOP - long-term ownership * 2,000 learning and development budget per year * three L&D days per year * 28 vacation days * monthly allowance for Navit or Wellpass ## Description Experteer Overview In this role you will build autonomous, agent-driven capabilities for Alasco's real estate finance platform. You'll own end-to-end agentic workflows, establish eval-driven development, and work across dashboards, reporting, valuations, and planning. You'll implement LLM operations and observability to ensure reliability in a finance-critical domain, collaborating with customers and stakeholders to make trade-offs explicit. This is a hands-on opportunity to shape the AI core that powers real-time forecasting and anomaly detection at scale. Join a mission-driven team delivering tangible impact in real estate decision-making. Pay / Benefits * Develop end-to-end autonomous workflows that handle complex tasks * Establish evaluation frameworks and ground-truth sets to measure agent reliability * Collaborate across AI product areas like dashboards, reporting, valuations, and planning * Implement LLM ops and observability to monitor, trace, and scale reliability * Engage with customers and internal stakeholders to inform decisions * Articulate trade-offs openly and manage time, cost, UX, and quality considerations Tasks * Proven product software experience with TypeScript and Python * Deep understanding of LLM infrastructure and agent architectures * Expertise in context and data engineering for unstructured data * Strong debugging, refactoring, and code-review skills * Experience with AI coding tools and clear handoff practices * Fluent German and English Key requirements * hybrid work model (2 days in Munich, 3 days remote) * VSOP - long-term ownership * 2,000 learning and development budget per year * three L&D days per year * 28 vacation days * monthly allowance for Navit or Wellpass ## Related Videos - [Do TypeScript without TypeScript](https://www.wearedevelopers.com/videos/327-do-typescript-without-typescript) - [Are Code Reviews Worth It? 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