Working Student AI Development

Location

Germany

Posted

7 days ago

Salary

0

Seniority

Mid Level

Job Description

Working Student AI Development

energy matters GmbH

Role Description Du baust an einem Nachmittag einen Prototyp, der ein echtes Problem löst. Wir bauen gerade die KI-getriebene Energieplattform für den Gewerbevertrieb — und suchen jemanden, der mit uns baut. - Agentisch entwickeln: Du arbeitest täglich mit Tools wie Claude Code, Codex & Co. und baust damit eigenständig Prototypen, Automatisierungen und Analysen. LLM Tool Calling und Structured Outputs sind für dich Handwerkszeug. - Features shippen: Du setzt kleinere Features und Bugfixes eigenständig um — von der Idee bis zum Merge. Dein Code geht live und wird von echten Vertriebspartnern genutzt. - AI-Tools scouten: Neue Modelle und AI-Tools probierst du am Erscheinungstag aus und übersetzt sie in konkrete Anwendungsfälle für unsere Plattform. - Den Energievertrieb automatisieren: Du gestaltest die KI-Workflows mit, die unsere Plattform tragen: Live-Bonitätsprüfung, Antragsvalidierung, automatisierte Provisionsabrechnung. - Direkt am Kern arbeiten: Du arbeitest unmittelbar mit dem Gründerteam und unseren KI-Experten zusammen — kurze Wege, schnelle Entscheidungen, sichtbare Wirkung. Qualifications - Immatrikulation: Du bist eingeschriebene:r Student:in, z. B. in Informatik, Wirtschaftsinformatik, Data Science oder einem verwandten Fach. - Agentic-Development-Skills: Du entwickelst eigenständig KI-basiert: Tools wie Claude Code oder Codex sind dir vertraut, LLM Tool Calling und Structured Outputs verstehst du und wendest sie an. - AI-First Mindset: AI ist dein tägliches Werkzeug, kein Buzzword. Du verstehst, wie LLMs und Agenten funktionieren, und probierst Neues sofort aus. - Builder-Mentalität: Du arbeitest eigenständig, bleibst hartnäckig dran und lieferst lieber einen funktionierenden Prototyp als ein perfektes Konzept. - Sprache: Deutsch fließend in Wort und Schrift. Requirements - Ein klassischer Entwickler-Background ist keine Voraussetzung. Technisches Verständnis und eigene Projekte zählen bei uns mehr als der Lebenslauf. Benefits - Flexibilität fürs Studium: 15–20 Std./Woche, komplett remote, freie Zeiteinteilung. In der Klausurenphase fährst du runter, danach wieder hoch. - Echte Verantwortung: Du bekommst eigene Themen und dein Code geht in Produktion. Kaffee kochen wir selbst. - Moderne AI-Toolchain: Claude Code, aktuelle Modelle, Budget für neue Tools. Was dich schneller macht, wird angeschafft. - Energiewirtschaft von innen: Du lernst einen Milliardenmarkt mitten in der Energiewende kennen — direkt von einem Gründerteam aus der ersten Reihe der Branche.

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