(Senior) Product Engineer (m/f/d)
Entwickelt Features End-to-End für eine Workflow-Engine und integriert LLM-basierte Agenten und Tool-Use in Produkterlebnisse.
Entwickelt Features End-to-End für eine Workflow-Engine und integriert LLM-basierte Agenten und Tool-Use in Produkterlebnisse.
Verantwortet technische Ausrichtung und Architektur einer Virtual-Power-Plant-Plattform, inkl. Agent-fähiger APIs und Umstellung des Teams auf agentisches Engineering.
Develop and execute an AI and automation roadmap for the Western Europe Amazon e-commerce function - Support in building a future-proof e-co
AI Solution Architect (m/w/d)
Erforderliche Skills & Erfahrungen F ull Stack Development AAWU18 technisch und funktional weiterentwickeln neue Features Fullstack umsetzen
Wir schreiben dir, sobald eine neue geprüfte Stelle in Hamburg dazukommt. Höchstens eine Nachricht am Tag, und nur, wenn es tatsächlich etwas Neues gibt.
Abmelden mit einem Klick, jederzeit. Keine Weitergabe an Dritte.
Gestaltet Nutzererlebnisse eines agentischen KI-Assistenten über Chat, Mail, Sprache und Benachrichtigungen und pflegt das Design System.
Headquartered in Tokyo, Japan, Evident employs around 2,000 people at a total of 57 locations worldwide.
Ganzheitliche Produktentwicklung: Du verantwortest Features vom ersten Konzept bis zum Einsatz in der Produktivumgebung und bei echten Nutze
Multi-Agent-Architektur & Orchestrierung Konzeption und Umsetzung produktionsreifer Multi Agent Systeme mit klar definierten Strategien für
We maximize product availability with minimal cashflow investment in 1/10 of the time.
Verantwortet Logistik-Features von der Idee bis Production und steuert Agents über Specs, mit Evals, Guardrails und Qualitätsprüfung.
Du hast Freude daran, dich tief in KI-Themen einzuarbeiten und dein Wissen aktiv in die Erarbeitung zusammen mit anderen Kolleg:innen einzubringen.
RAG-Pipeline & KI: Architektur und Entwicklung der serverseitigen RAG-Pipeline, von der Query-Verarbeitung über Embedding und Vector Search
Das waren alle 13 Jobs zu dieser Auswahl.
Warum dieser Job gelistet ist
Die Rolle ist Product Engineering, doch LLM-Integration und praktische LLM-Erfahrung sind benannte Kernaufgabe und Pflichtanforderung, ohne die die Stelle wesentlich fehlt.. Prüfverfahren ansehen
Strong fullstack proficiency in TypeScript, React / Next.js, and Node.js / NestJS - Real, demonstrable experience building with LLMs, APIs, or MCPs - production use preferred - A product and customer mindset: you think about user problems, not just implementation elegance - Proven ability to own features end-to-end, from rough problem statement to shipped, maintained product - Experience working closely with PMs and designers in a cross-functional team - Excellent written and spoken English; German is a plus - Residency in Germany Bonus points for: - Experience with agentic systems, tool-use patterns, or RAG pipelines - Familiarity with the energy market, construction, sales, or climate tech context - Prior experience in a startup or scale-up
You are part of an international, dynamic, and highly motivated team of people who have proven to make things happen - With your work, you accelerate the energy transition and hence have a direct impact on our climate - Work with and learn from other super-smart colleagues - You will enjoy direct contact with core decision-makers - You will enjoy the best chances of entering full-time in one of Europe’s most thriving scaleups - You work remotely (Germany-wide), with offices in Hamburg, Berlin or Munich - Create a healthy balance alongside your work and enjoy all the benefits of the EGYM Wellpass - Benefits and discounts are yours with Futurebens - Whether city bike or e-bike - be flexible with our job bike leasing and do something good for the environment at the same time
1KOMMA5° At 1KOMMA5°, we pursue a clear vision: Living on wind and sunlight forever for free. To make this a reality, we are building the energy system of the future with Heartbeat AI. Want to be part of it?We bring together regional craftsmanship and scalable software: We don t think of solar, batteries, heat pumps, and e-mobility as isolated components, but control them as an intelligent, integrated overall system in our virtual power plant.
Directly connected to the electricity market – in real time, fully automated. This way, energy is used when it is available from renewables and particularly cost-effective. By 2030, our goal is to transition 1.5 million households to renewable energies.
Over 3,000 people are working towards this every day, at more than 80 locations worldwide, from Finland to Australia. Want to take responsibility and build solutions that truly matter? Apply now and help us shape the energy world of tomorrow.
Learn more about our Product & Tech team! Your mission You will help shape the virtual assembly line team - our intelligence workflow engine building solutions in Growth and Operations to scale our products globally with maximum efficiency and quality. This is a builder role at the intersection of engineering and product: you co-define what gets built, ship it fast, and use AI as a force multiplier at every step.
As a (Senior) Product Engineer at 1KOMMA5°, you will take end-to-end ownership of features and workflows, making key decisions on architecture, integration layer, and solution design. You ll collaborate closely with product managers, designers, and engineers across teams to ship things that genuinely move the needle for our customers - and you won t be shy about challenging assumptions or proposing a better direction. Our Stack: - TypeScript, React / Next.js (frontend) and Node.js / NestJS (backend) - AI-assisted development with Cursor and Claude Code - GCP / Vercel, GitHub Actions (CI/CD) - Linear, Notion, Figma, Miro Key responsibilities include but are not limited to: - Own feature development end-to-end, from problem framing to production deployment and long-term maintenance - Build and integrate AI-powered product experiences using LLMs, agents, and tool-use patterns - Define feature scope together with PMs - engage with the why, not just the what - Contribute to architectural decisions, API design, and AI integration patterns across the teams - Keep feedback loops short: prototype, ship to real users, observe, adjust - Push back when something doesn t make sense and propose better approaches
Interesse an dieser Position?
Die vollständige Anzeige und das Bewerbungsformular liegen beim Arbeitgeber.
Zur Originalanzeige13 geprüfte Stellen bei 12 Arbeitgebern, 1 davon ortsunabhängig. KI in bestehende Software und Abläufe bringen: Agenten, RAG-Systeme, Schnittstellen, automatisierte Arbeitsketten.