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We are redefining ERP automation with agentic AI. Spun out of ETH Zurich, we build AI agents that automate finance, procurement, logistics, sales, and more for some of the world's largest enterprises. We solve real enterprise problems with cutting-edge technology and a strong sense of ownership.
Our solution is live in 40+ countries, used by 20,000+ daily active users, and automates 70,000+ processes every day, including for Fortune 500 companies. As one of Switzerland's fastest growing SaaS scaleups.
What you’ll do
- Collaborate with business stakeholders to understand requirements and translate them into possible improvements to our product.
- Design and develop clean, maintainable, and high-quality software. Conduct code reviews and contribute to a culture of technical excellence.
- Collaborate on system design, tech stack decisions and optimizations for scalability, performance and maintainability.
- Guide technical direction for major initiatives, shape how the product evolves and mentor team members along the way.
- Promote Innovation and Collaboration: Work closely with colleagues to continuously improve processes, tools and team practices while fostering a culture of learning and growing.
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The Tech Stack includes Golang, React/Typescript, various ML models, MySQL, F#, Docker images deployed on a Kubernetes cluster in our cloud infrastructure (GCS, AWS or Azure) and Github CI/CD.
Qualifications
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- Bachelor’s or Master’s degree in Computer Science or equivalent practical experience.
- 5+ years of experience in a software engineering role.
- Passionate about software craftsmanship: Strong understanding of software development principles, Clean Code and Clean Architecture.
- Product thinking: Ability to translate business problems into precise requirements, specifications and ultimately into code.
- Ownership: take responsibility for your technical work, for the product we build and the team we shape.
- Team-oriented: proactively support team goals, close gaps.
- Abstraction and efficient communication: simplify complex systems, identify core concepts, communicate complex ideas clearly.
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Jessica, London
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