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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Transformation Lead - **Company:** Twentyfour GmbH - **Location:** München, Germany (Remote available) - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Cloud Computing, Information Engineering, Data Infrastructure, Data Mining, Data Intelligence, Python (Programming Language), Machine Learning, Systems Integration, Data Processing, Large Language Models, Multi-Agent Systems, Information Technology, Machine Learning Operations, Data Pipelines - **Published:** July 12, 2026 - **Apply:** https://de.indeed.com/viewjob?jk=069cd33fd23e29b7 ## About the Role * Track record: you're an exceptional, hands-on AI/ML engineer who can architect and ship production systems end-to-end (agentic/LLM pipelines, search/RAG, data extraction, ML models) * Engineering foundation: you bring strong software and data engineering skills (Python, APIs, data pipelines, cloud) and can build tooling from scratch * Data wrangling: you've turned messy, unstructured real-world data into structured, queryable intelligence * Leadership: you can lead a small technical team and partner directly with SCM and R&D on high-impact use cases * Education: you hold a degree in computer science, engineering, or a related field - or equivalent hands-on experience that speaks louder than the diploma * Languages: you're fluent in English; German is a plus, * Domain knowledge: background in supply chain, procurement, or hardware data, and an understanding of components and BOMs * Agentic systems: experience with autonomous research or scouting agents * Startup mindset: 0-to-1 product experience rather than large-corporate ML teams only ## Description We're looking for an exceptional, hands-on AI/ML engineer to build the AI and data technology layer that powers Twentyfour's supply chain organization. In this role, you'll design and ship agentic and ML systems that turn component, supplier, and market data into proactive intelligence, letting us find, evaluate, and de-risk drone components and suppliers faster than anyone else. This is a technical leadership role where you'll set the direction for one of SCM's key differentiators, leading a small team while partnering directly with the Director of SCM and R&D. The day-to-day * Technical ownership: design, build, and own the AI/data tech layer for the SCM function * Agentic tooling: build agentic and ML tooling that proactively discovers, evaluates, and monitors drone components and suppliers * Data intelligence: turn unstructured supplier and component data (datasheets, BOMs, market data) into structured, decision-grade intelligence * Team leadership: lead a small AI team and set the technical direction, standards, and roadmap for SCM AI * Cross-functional delivery: partner with the Director of SCM and R&D to translate sourcing problems into shipped capabilities * Data foundation: stand up pipelines, storage, and integrations with ERP/PLM and external data sources ## Related Videos - [Data Science on Software Data](https://www.wearedevelopers.com/videos/162-data-science-on-software-data) - [Why and when should we consider Stream Processing frameworks in our solutions](https://www.wearedevelopers.com/videos/1085-why-and-when-should-we-consider-stream-processing-frameworks-in-our-solutions) - [Green Cloud Computing](https://www.wearedevelopers.com/videos/592-green-cloud-computing) - [AI in Leadership: How Technology is Reshaping Executive Roles](https://www.wearedevelopers.com/videos/1705-ai-in-leadership-how-technology-is-reshaping-executive-roles) - [Data Mining Accessibility](https://www.wearedevelopers.com/videos/802-data-mining-accessibility) - [Agentic employees in world's most downloaded FinTech app](https://www.wearedevelopers.com/videos/100123-agentic-employees-in-world-s-most-downloaded-fintech-app) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Stephan Gillich - Bringing AI Everywhere](https://www.wearedevelopers.com/magazine/489-stephan-gillich-bringing-ai-everywhere) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development)