Job
- Level
- Junior
- Job Feld
- Data, Application
- Anstellung
- Vollzeit
- Vertragsart
- Unbefristetes Dienstverhältnis
- Ort
- München
- Arbeitsmodell
- Onsite
Job Zusammenfassung
In dieser Rolle entwickelst du AI-gesteuerte Automatisierungen und integrierst LLM-Funktionen in bestehende Systeme, während du komplexe Workflows koordinierst und Microservices in der Google Cloud verwaltest.
Job Technologien
Deine Rolle im Team
- As a Junior AI Solutions Engineer, you will join our Enterprise AI team to accelerate Proxima Fusion's operational and technical workflows.
- You will be responsible for identifying, designing, and deploying AI-driven automations that eliminate bottlenecks across the organization.
- This is a role for a builder who thrives in an agile environment and is excited about applying the latest AI technology to solve real-world startup challenges at high speed.
- Design and implement sophisticated automation architectures using tools like n8n, LangGraph and Python, integrating LLM capabilities into the core of Proxima's business and technical operations.
- Orchestrate our ecosystem by integrating AI workflows with existing data sources and tools, including Google Drive, Slack, project management software, and meeting infrastructure.
- Deploy and manage AI-driven microservices on Google Cloud Platform (GCP), utilizing Cloud Run, Vertex AI, and Vector Databases.
- Develop and optimize agentic workflows that leverage REST APIs, MCP (Model Context Protocol), and multi-modal Generative AI (Text, Image, and Video).
- Collaborate with the Enterprise AI Team to translate high-level system designs into functional prototypes, validating results directly with internal stakeholders.
- Integrate with our Software Development and Dev-Platform team to ensure all AI deployments follow Proxima's infrastructure and coding best practices.
Unsere Erwartungen an dich
Qualifikationen
- A High-Agency Builder: You prioritize shipping functional, high-impact prototypes and have a proven "builder" mindset when it comes to solving complex problems with simple solutions.
- Collaborative & Mission-Driven: You choose mission over ego, working seamlessly across a diverse team of physicists, engineers, and ops.
- You are an excellent communicator who can bridge the gap between technical AI tools and the needs of non-technical colleagues.
- Technically Proficient: You have a solid foundation in Python and a deep understanding of LLM APIs, prompt engineering, and the current GenAI ecosystem.
- Infrastructure-Aware: Familiar with Linux, Docker, and cloud-native environments (ideally GCP).
- You understand how to interact with and design clean RESTful APIs.
- Continuous Learner: You are obsessed with the "state-of-the-art" and are likely the first person to experiment with new AI models or frameworks the day they are released.
- Proactive & Pro-Feedback: You go above and beyond to see things through.
- You see feedback as a gift and iterate fast based on user validation.
- Startup-Ready: You thrive in high-paced environments characterized by high ambiguity and rapid iteration cycles.
Unser Angebot
- You will get to work on some of the most complex tech challenges to bring abundant, safe, clean energy to the world.
- You'll get to join and learn from an exceptional selection of accomplished and driven individuals.
- Do your life's best work and enjoy the journey.
- Get to show that big things are possible in Europe when you assemble the best talent.
Themen mit denen du dich im Job beschäftigst
Job Standorte
Das ist dein Arbeitgeber
Proxima Fusion
Die Proxima Fusion GmbH, gegründet im Jahr 2023 in München, fokussiert sich auf die Entwicklung des ersten kommerziellen Fusionskraftwerks weltweit. Das Unternehmen setzt auf innovative Stellarator-Technologie und moderne Methoden wie Machine Learning, um bis in die frühen 2030er-Jahre marktreife Fusionsanlagen zu schaffen. Als Ausgründung des Max-Planck-Instituts für Plasmaphysik profitiert Proxima Fusion von einer starken Verbindung zur europäischen Forschungslandschaft.
Description
- Unternehmenstyp
- Startup
- Arbeitsmodell
- Onsite
- Branche
- Energiewirtschaft, Umwelt