Forward Deployed Engineer - in Münster or Munich (m/w/d)

Role Specifications

Why this role exists Europe can reindustrialize if we bring together AI × Energy Market Opportunities × Industrial Processes. The largest European companies (~2% of total energy demand) make their energy decisions using our Energy OS. The mission statement we stand behind: Invest in Values. Produce in Freedom. Boost Europe. You are not rolling out a finished product. You are actively building the engine. You deploy our Agentic Energy OS at industrial sites. You are its teacher. You engineer how the tools execute. You enrich them with the energy insights you bring to the table. You iterate on customer feedback in hours, not quarters. Aufgaben The engine you co-build The Agentic Energy OS has four layers. You deliver into all four, and your field feedback rewrites them: 1. Digital Twin: A live model of a customer's entire energy system: power grid, gas, steam at multiple pressure levels, cold/hot water, waste heat recovery, self-generation, batteries. Smart meter and OPC UA integrations. Calibrated to the customer's reality. 2**. Decision Hub:** The investment-and-strategy layer. Designer scenarios, business cases, what-if analyses, roadmap planning across the customer's portfolio. 3. Operation Hub: Cross-market, cross-plant live optimization. Day Ahead, Intraday Continuous, balancing energy. Calculates the internal merit order across the entire plant fleet, feeds prices and volumes into flex-marketer partners. 4. The Autonomous Agent: The science fiction layer. Builds Digital Twins autonomously. Reads single-line diagrams, parses SharePoints, asks the right person for missing time series, researches component parameters, runs optimizations, finds savings in €/ton, uncovers contradictions in source data, and reports back. You are the driving instructor for autonomous driving. The agent needs you — to sit next to the operator, to hear what is said in the break room, to resolve contradictions the AI cannot see, and to stop it from emailing the entire purchasing department at 2 AM. Over time, your job becomes systematically automating away everything you still do by hand: you actively co-develop so that every workaround you find becomes obsolete. The site teaches the engine. You are the teacher. What you do on a Tuesday - You work alongside agents handling a customer's chemical site: 12 process steam consumers across 3 pressure levels, an e-boiler option, a CHP (Combined Heat and Power) plant, a waste heat recovery loop. - You review optimizations the agent has developed to compare a Power-to-Heat investment scenario against the status quo. - You catch a contradiction flagged by the autonomous agent — two single-line diagrams contradicting each other regarding a transformer rating — and fix it before the optimization runs on bad data. ** The Career Path ** We have a ladder with a deliberate branch at the Mid/Senior level. Choose the spike that fits you. Junior — Onsite in Münster | ~60k You learn the Agentic Energy OS from the insi

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