Staff Engineer - Heartbeat AI (m/f/d)
Verantwortet technische Ausrichtung und Architektur einer Virtual-Power-Plant-Plattform, inkl. Agent-fähiger APIs und Umstellung des Teams auf agentisches Engineering.
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)
Ganzheitliche Produktentwicklung: Du verantwortest Features vom ersten Konzept bis zum Einsatz in der Produktivumgebung und bei echten Nutze
We maximize product availability with minimal cashflow investment in 1/10 of the time.
Wir schreiben dir, sobald eine neue geprüfte Stelle zu Machine Learning 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.
Warum dieser Job gelistet ist
KI-Anforderungen stehen in Aufgaben und Profil (Architektur der KI-Systeme, agentisches Engineering); die Rolle ist aber eine Software-Führungsrolle, daher B statt A.. Prüfverfahren ansehen
- Extensive hands-on experience in software development with multiple general-purpose programming languages for a minimum of 5 years - A proven track record of architecting scalable and secure systems, demonstrating a strong commitment to quality - Extensive experience in designing and implementing APIs that enable seamless integration and system communication - An agile and result-oriented mindset, with a strong emphasis on collaboration and teamwork - Experience communicating with stakeholders in business terms and understanding the technical implications of their
- Experience driving technical alignment within a team in fast-paced environments, including making and following through on critical technical decisions - Experience designing systems and APIs for agent consumption, with structured errors and clear contracts that let agents self-correct - Capability to guide an engineering team through the shift to agentic engineering, reshaping workflows so agents execute safely while humans stay accountable for every outcome - Experience architecting AI/ML-driven or data-intensive systems (e.g. forecasting, real-time data pipelines), ideally in an energy or IoT context - Strong verbal and written communication skills in English, with proficiency in German considered a plus
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 - Individualised opportunities for professional development - Reporting directly to the CTO
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 - Own technical direction across Heartbeat AI s engineering domain (Mobile Apps, Energy Data, IoT Platform, and beyond), keeping architecture aligned with product direction - Accountable for consistent execution of technical decisions within your domain, setting clear direction and holding the team accountable for implementation - Set the technical bar for the team, stepping into the hardest problems yourself rather than just directing others - Translate business and product requirements into technical solutions - Mentor and challenge engineers within Heartbeat AI to accelerate their growth - Build a high-performing engineering culture within the Heartbeat AI team - Embed security and reliability as direct customer value - Architect our systems and APIs so AI agents operate as first-class users with machine-readable contracts and structured errors that let agents self-correct - Drive Heartbeat AI s shift to agentic engineering, reshaping how the team works so agents execute safely while humans stay accountable - Own the architecture of the AI systems that power the product itself, from our EMS to our energy tariff Technologies you will work with include: - AI-assisted development with Cursor and agentic coding workflows - Cloud & Infra: Google Cloud Platform, GKE (Kubernetes), Cloud Run, Terraform/IaC, Vercel - Messaging & IoT: Eclipse Hono, MQTT, Mender - Data & BI: PostgreSQL, BigQuery, SQLMesh, Looker - Observability: Datadog, OpenTelemetry - Languages: TypeScript (Nest.js, Next.js), Java, Go, Flutter - DevOps: CI/CD pipelines (GitHub Actions) - Linear, Notion, Figma, Miro
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.