Primary technologies, domain competencies, and required qualifications
Verified specifications, primary responsibilities, and qualifications
You’re not just writing code; you’re building the foundation of Lio’s enterprise AI platform. Your work will power our SaaS and Agent products, making them scalable, reliable, and impactful for global customers. You’ll help translate real-world customer needs into robust technical solutions that drive measurable value.
In this role, you will:
Design and implement agent-based architectures and workflows
Build and scale high-performance cloud SaaS systems across backend and frontend
Turn product and customer requirements into production-ready solutions
Own initiatives end-to-end, from architecture to deployment
Occasionally interact with customers to clarify needs and ensure successful delivery
Continuously improve code quality and engineering standards
You’re a good fit for this role if you:
Have 5+ years of experience as a Software Engineer in cloud SaaS applications, with strong expertise in Python, TypeScript, Java, or similar languages OR are a recent Master’s graduate from a top university (TUM, Oxford, Ivy League, ETH, KIT, etc.) with hands-on development experience through internships, working student positions, or personal projects
Are passionate about writing clean, maintainable code and building products that delight users
Think end-to-end: from system design to production-ready implementation
Thrive in a fast-paced, high-impact environment and take ownership of critical technical decisions
Can communicate clearly with both technical and non-technical stakeholders
At Lio, you’ll help build the next category-defining AI company from the ground up. You’ll directly shape our product, workflows, and company direction while tackling real AI challenges that transform enterprise operations. Move fast, own your impact, and skip the politics, all while working with a team where colleagues become friends and every contribution matters. Be part of shaping the culture, processes, and vision that will define the future of enterprise AI. Are you in?
Any questions about the role? Feel free to reach out to Cansel.
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