Role Description We’re hiring an Engineer who knows that “good enough" is not good enough. At Dutchie, our customers count on us to tackle the hardest challenges in a fast-changing industry, and we take that responsibility seriously - building quality and shipping fast aren't a tradeoff here, it’s the standard. As a Senior Engineer, you are a technical leader who brings depth and breadth to our agentic-first development team. You don’t just use AI to write code; you leverage it to research unfamiliar territory, architect complex systems, and solve all but the most exceptional problems with little assistance. - Customer-Centric Innovation: Partner closely with Product and Design teams to translate customer pain points into delightful, high-performance product experiences. - Architect and Lead: Drive the end-to-end lifecycle of medium-to-large scale projects with minimal requirements, from initial design and architecture to deployment and iteration. - Strategic Problem Solving: Proactively identify technical debt, surface technical roadmap items, and design high-quality, scalable solutions for our core platforms. - Mentor and Enable: Act as a multiplier for the team by coaching junior engineers through PR reviews, design discussions, and sharing best practices for agentic workflows. - Agentic Mastery: Lead by example in using LLMs and agentic tools to amplify judgment and speed while maintaining a high quality bar for the entire team. - Operational Excellence: Participate in on-call rotations and lead incident responses, using advanced tools for logging, monitoring, and debugging to ensure system reliability. Qualifications - 5+ years of software development experience, with a proven track record of owning and delivering complex features independently. - Expert-level proficiency in at least one modern backend ecosystem, specifically Ruby or .NET/C#. - Deep understanding of how to build high-quality, performant, and scalable distributed systems. - Extensive experience designing and evolving complex data models across relational (SQL Server) and non-relational stores. - A solid, capable engineer who can drive problems to completion with little oversight and knows the right questions to ask. - Advanced experience treating LLMs and agentic tools as core parts of your planning and implementation toolkit. - A desire to refine our engineering culture and processes, ensuring we consistently deliver stable, resilient systems. Requirements - Experience in the cannabis industry or have built enterprise-facing software for POS, Ecommerce, or Payments. - Experience with frontend technologies like React and TypeScript to support full-stack initiatives. - Experience building and monitoring infrastructure on cloud-native providers like AWS. - Successfully introduced AI-assisted workflows or autonomous agents to an engineering organization previously. Benefits - Targeted starting salary of $149,000 - $201,000 based on the intended level for this role. - Full medical benefits including dental and vision plans to ensure you always have the best care. - Equity packages in the form of stock options to all employees. - Technology (hardware, software, reading materials, etc.) allowance. - Flexible vacation and sick days.

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.

• Serve as the squad's technical reference for topics related to AI Engineering and Software. • Lead the technical and architectural design of solutions based on AI Agents, LLMs and RAG architectures. • Make high-complexity technical decisions involving scalability, security, performance and system integration. • Develop high-quality solutions following software engineering best practices. • Define technical standards, frameworks and best practices for the evolution of the AI platform. • Work hands-on in the development of critical solutions. • Translate business needs into technically viable architectures and solutions. • Mentor developers and disseminate technical knowledge within the team. • Influence strategic decisions related to the adoption and evolution of AI across the organization.

• Design and develop integration solutions using Tibco and/or Workato to connect various applications and systems. • Collaborate with business stakeholders to gather requirements and translate them into technical specifications. • Implement and maintain data mappings, transformations, and workflows to ensure seamless data exchange. • Monitor and troubleshoot integration processes, ensuring high availability and performance. • Create technical documentation for integration processes and solutions. • Stay updated with the latest features and best practices in Tibco and Workato to continuously improve integration efficiency.