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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Head of Applied AI/Data - **Company:** Enmacc GmbH - **Location:** München, Germany (Remote available) - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Continuous Integration, Information Engineering, Data Warehousing, Machine Learning, Natural Language Processing, Open Source Technology, Rapid Prototyping Process, Feature Engineering, Retrieval-Augmented Generation, Large Language Models, Model Validation, Generative AI, Optimization Algorithms, Machine Learning Operations - **Published:** June 6, 2026 - **Apply:** https://de.indeed.com/viewjob?jk=3a9e74cc1d0f863e ## About the Role Do you have experience in Natural language processing?, Do you have a Master's degree? ## Description * Market Intelligence: Drive the development of predictive models, anomaly detection, and optimization algorithms tailored to the energy trading domain. * Core DS Leadership: Oversee the transition of Data Science from product-specific silos into a centralized powerhouse that provides advanced analytics across the entire enmacc ecosystem. * Statistical Rigor: Maintain high standards for model validation, feature engineering, and experimental design. 2. Modern AI & LLM Adoption * Generative Strategy: Lead the adoption of LLMs and Generative AI. This includes building production-ready RAG (Retrieval-Augmented Generation) systems, agentic workflows, and NLP solutions for unstructured trading data (chats, news, contracts). * AI Productization: Move beyond "wrappers" to build deeply integrated AI features that solve complex domain problems, focusing on evaluation frameworks and cost-efficient scaling. * Rapid Prototyping: Foster a culture of fast experimentation with the latest AI research to keep enmacc at the cutting edge. * Strategic Leadership: Build and lead a unified Data & AI group, integrating existing specialists (Data Engineering, ML Engineering, and Data Science) into a high-velocity team. * AI & LLM Roadmap: Lead the development and deployment of LLM-powered features. This includes exploring RAG (Retrieval-Augmented Generation) for domain knowledge, automated trade summarization, and intelligent market assistants. * Product Innovation: Drive the ML roadmap for product development, identifying where predictive modeling and NLP can create a competitive advantage in energy and commodity markets. * Technical Excellence: Provide hands-on technical mentorship. You should be as comfortable discussing vector databases and prompt evaluation as you are with CI/CD for ML (MLOps). * Domain Integration: Partner with Product and Business leaders to translate complex trading requirements into technical AI solutions. Your Team You will consolidate a currently distributed team to foster architectural consistency and shared AI standards: * Data Engineering (from Platform) - Ensuring the data "plumbing" supports real-time AI. * ML Engineering (from Platform) - Managing the lifecycle of models from experiment to production. * Data Science (from Product) - Translating business problems into statistical and algorithmic solutions., * AI & ML Expert: Proven experience in Machine Learning and, crucially, modern LLM development (e.g., working with OpenAI/Anthropic APIs, open-source models, vector stores, and agentic workflows). * Technical Foundation: You understand the full stack-from data warehousing to model monitoring. You can lead "the how" as well as "the what." * Trading Interest: You are genuinely interested in the trading domain. You see the potential for AI to navigate the complexities of energy markets and commodity flows. * Strategic Builder: You are excited to define the culture, tech stack, and workflows of a brand-new department from the ground up. ## Related Videos - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [How E.On productionizes its AI model & Implementation of Secure Generative AI.](https://www.wearedevelopers.com/videos/623-how-e-on-productionizes-its-ai-model-implementation-of-secure-generative-ai) - [Your imaginations is (no longer) the limit: how Generative AI empowers people to be creative](https://www.wearedevelopers.com/videos/741-your-imaginations-is-no-longer-the-limit-how-generative-ai-empowers-people-to-be-creative) - [Introduction to Azure Machine Learning](https://www.wearedevelopers.com/videos/368-introduction-to-azure-machine-learning) - [The shadows that follow the AI generative models](https://www.wearedevelopers.com/videos/624-the-shadows-that-follow-the-ai-generative-models) - [Analytics in the Age of Agentic AI: A tour of ClickHouse and Langfuse](https://www.wearedevelopers.com/videos/100240-analytics-in-the-age-of-agentic-ai-a-tour-of-clickhouse-and-langfuse) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Stephan Gillich - Bringing AI Everywhere](https://www.wearedevelopers.com/magazine/489-stephan-gillich-bringing-ai-everywhere) - [The Most Popular IT Jobs on the Market](https://www.wearedevelopers.com/magazine/376-the-most-popular-it-jobs-on-the-market) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift)