About the job
Join our dynamic team in Budapest, Hungary! We embrace a hybrid work model, with in-office presence required for over 3 days a week.
Tulip is at the forefront of AI-driven frontline operations, empowering companies worldwide to equip their workforce with composable, connected applications. This innovation leads to enhanced work quality, increased efficiency, and comprehensive traceability throughout operations. Our cloud-native, no-code platform, integrated with embedded AI, spearheads the digital transformation in industrial settings, delivering human-centric solutions that transcend traditional Manufacturing Execution Systems (MES).
As a proud spinoff from MIT, Tulip is headquartered in Somerville, MA, with additional offices located in Germany, Hungary, Singapore, and Israel. Our achievements have earned us accolades such as the World Economic Forum Global Innovator title, the 2024 Deloitte Technology Fast award, and recognition as one of Energage's Top Workplaces USA, as well as Built In Boston's "Best Places to Work" and "Best Midsize Places to Work."
About You:
This position uniquely combines the Tulip Library with the Tulip Experience Center (TEC). As an Ecosystem & Low-Code Developer, you will design composable assets and demo environments that highlight the platform's capabilities for prospective clients. You will lead the AI transformation journey, crafting user experiences for a future where Tulip builders leverage AI to develop solutions, owning the complete development lifecycle from scoping to commercial deployment.
What skills do I need?
- Minimum of 2 years in solution engineering, content creation, or technical development.
- Proven AI expertise, with experience in creating repeatable workflows, prompt libraries, and templates that enhance productivity and quality.
- Strong technical skills combined with a data-driven mindset and foundational programming knowledge.
- Excellent English communication abilities, capable of translating complex technical concepts into clear, benefits-focused language.
- Preferred: Interest in UX/service design, AI tools, or MCP servers.
- Preferred: Genuine curiosity and empathy for manufacturing processes and frontline operations.
- A relevant degree in Engineering (Process, Industrial, Mechanical) or Design (Product, Industrial), or equivalent practical experience.

