AI Solutions Engineer

16 days ago

Munich, GermanyMid Level

Responsibilities

Identify workflow bottlenecks across engineering, operations, and business teams and convert them into AI automation opportunities.
Design and implement automation architectures using n8n, LangGraph, Python, and LLM capabilities.
Integrate AI workflows with Google Drive, Slack, project management software, and meeting infrastructure.
Deploy and manage AI-driven microservices on Google Cloud Platform using Cloud Run, Vertex AI, and vector databases.
Develop agentic workflows using REST APIs, MCP, and multimodal generative AI for text, image, and video.
Collaborate with the Enterprise AI Team and internal stakeholders to translate system designs into validated prototypes.
Ensure AI deployments follow infrastructure and coding best practices in partnership with the Software Development and Dev-Platform team.

Demonstrated ability to build and rapidly ship functional, high-impact prototypes.
Solid Python foundation and deep understanding of LLM APIs, prompt engineering, and the current generative AI ecosystem.
Familiarity with Linux, Docker, cloud-native environments, and ideally Google Cloud Platform.
Understanding of how to interact with and design clean RESTful APIs.
Strong communication and collaboration skills for working with technical and non-technical colleagues.
Ability to learn continuously, work proactively, accept feedback, and operate effectively in a fast-paced, ambiguous startup environment.

Opportunity to work on complex technology challenges supporting abundant, safe, clean fusion energy.
Opportunity to learn from accomplished colleagues and contribute to a mission-driven, diverse team.
Work across Proxima Fusion’s teams in Munich, Zurich, and Oxford.

51-200 employees