(Senior) Solutions Engineer (m/f/d)

AskUI GmbH WorkFromHome

Stellenbeschreibung:

Your Profile

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

Our Offer

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 a colleague 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and building stuff honing your skills instead of having to spend your time in nonsensical meetings and complying with outdated, complex processes

Your Role

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.