Job Title

Relocation to Germany:Senior AI Solution Engineer with 5+ years of experienceThe position:As a Senior AI Solutions Engineer, you will join our Enterprise AI team to accelerate 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.WHAT YOU WILL DODesign and implement sophisticated automation architectures using tools like n8n, LangGraph and Python, integrating LLM capabilities into the core of 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 infrastructure and coding best practicesWHO YOU ARE5+ years of relevant experienceA 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.