Senior Solutions Engineer, m/f/d

Role Overview

• Design Intelligent Automations: Leverage our platform to build agentic systems that interact with UIs like humans—navigating, clicking, reading, and inputting data across platforms using vision-based and AI-powered controls.
• Integrate AI Workflows: Translate customer processes into autonomous agents by integrating LLMs, RAG pipelines, and task orchestration logic—turning traditional automation into decision-capable flows.
• Custom Solution Engineering: Develop tailored plugins, automation scripts, and microservices that extend our AI UI automation capabilities to match each customer's unique ecosystem.
• Train & Enable: Deliver documentation, live enablement sessions, and hands-on workshops to help customers adopt, maintain, and scale their AI-driven automations effectively.
• Real-World Feedback Loop: Capture edge cases, technical challenges, and UX bottlenecks directly from the field, and turn them into actionable insights for our Product and Engineering teams.
• Rapid Feature Prototyping: Move fast to build and deliver experimental features or proof-of-concept AI agents based on urgent customer needs or internal innovation sprints.
• Evaluate Emerging AI Models: Experiment with cutting-edge AI tools (e.g. multimodal models, action transformers) to assess how they can enhance automation coverage, stability, or flexibility.
• Cross-Team Intelligence Bridge: Act as the connective tissue between Product, Sales, Customer Success, and Engineering—ensuring everyone is aligned on the current solution landscape and future opportunities.
• Own the Customer Experience: Serve as a strategic technical partner to customers, helping them reimagine how AI and automation can drive efficiency, accuracy, and innovation across their operations.

Requirements

• 3–5 years of hands-on experience with Python and TypeScript
• Deep familiarity with the Windows ecosystem
• Bonus: Exposure to Mac and Linux environments
• Skilled in setting up CI/CD pipelines
• Proficient in building and managing Docker images
• Experience with cloud providers such as AWS, Google Cloud, or Azure
• Comfort with virtualization platforms: VMware ESXi, Proxmox, or Windows Hyper-V
• Experience in automation frameworks and testing tools: Playwright or .NET testing frameworks
• BDD (Behavior-Driven Development)
• XRay integration
• Browserstack

Tech Stack

• AWS
• Azure
• Cloud
• Docker
• Linux
• Microservices
• Python
• TypeScript
• VMware
• .NET

Benefits

• Highly competitive salary
• Flexible working hours
• Choose how you want to work: Fully remote, in our office in Karlsruhe or Berlin or hybrid
• Awesome team events from going to conferences together to joint workations and offsites once a year at a sunny location
• Opportunity to have a high and lasting impact on product, company and people
• A place where you are valued not only for your expertise but also as a human as part of a team where most consider each other not only to be colleagues but friends
• Truly agile working environment where you are not confined by deadlines set by some manager
• Low level of bureaucracy: Spend most of your time actually designing and building stuff honing your skills instead of having to spend your time in nonsensical meetings and complying with outdated, complex processes