Contributing to end-to-end product workflows, from frontend UX to backend systems, data pipelines, and edge cases
Building frontend experiences in React and TypeScript alongside scalable, reliable backend systems
Supporting the design and development of AI-enabled systems, including embeddings, retrieval, and agents that create real operational leverage
Working on data pipelines for large-scale unstructured data
Making pragmatic technical decisions on architecture, tools, and frameworks to balance speed and quality
Deploying and maintaining software in cloud environments with a “you ship it, you run it” mindset
Writing clean, maintainable, and well-tested code with scalable, reusable components and APIs
Collaborating across the stack and learning through code reviews, pair programming, and mentorship from senior engineers
What you need
We are looking for ambitious engineering students or recent graduates with a strong foundation in software engineering and a genuine interest in AI. We hire for skill, ownership, and output.
Generalist mindset with a frontend affinity, eager to build across backend, data, and AI
Proactive and self-driven, able to turn unclear requirements into shipped software
Fast learner who picks up new technologies and frameworks quickly
Comfortable iterating closely with users and clients, including across different cultures
Strong problem-solving ability and attention to detail
Motivated to build excellent software in a fast-paced startup environment
Willing to work in-person in Munich with a higher intensity than a traditional 9–5 role
Solid foundation in full-stack software engineering, especially React and TypeScript, with a good understanding of constructing user flows
Backend engineering skills, ideally with Node.js, and familiarity with APIs and data modeling
Experience building software projects (academic, personal, or professional)
What you will do
Contributing to end-to-end product workflows, from frontend UX to backend systems, data pipelines, and edge cases
Building frontend experiences in React and TypeScript alongside scalable, reliable backend systems
Supporting the design and development of AI-enabled systems, including embeddings, retrieval, and agents that create real operational leverage
Working on data pipelines for large-scale unstructured data
Making pragmatic technical decisions on architecture, tools, and frameworks to balance speed and quality
Deploying and maintaining software in cloud environments with a “you ship it, you run it” mindset
Writing clean, maintainable, and well-tested code with scalable, reusable components and APIs
Collaborating across the stack and learning through code reviews, pair programming, and mentorship from senior engineers
What you need
We are looking for ambitious engineering students or recent graduates with a strong foundation in software engineering and a genuine interest in AI. We hire for skill, ownership, and output.
Generalist mindset with a frontend affinity, eager to build across backend, data, and AI
Proactive and self-driven, able to turn unclear requirements into shipped software
Fast learner who picks up new technologies and frameworks quickly
Comfortable iterating closely with users and clients, including across different cultures
Strong problem-solving ability and attention to detail
Motivated to build excellent software in a fast-paced startup environment
Willing to work in-person in Munich with a higher intensity than a traditional 9–5 role
Solid foundation in full-stack software engineering, especially React and TypeScript, with a good understanding of constructing user flows
Backend engineering skills, ideally with Node.js, and familiarity with APIs and data modeling
Familiarity with Docker and cloud environments is a plus
AI experience is a plus, especially embeddings and retrieval, structured outputs and tool calling, evals, and agentic workflows beyond prompt engineering
You take initiative and enjoy taking responsibility for your work
You communicate clearly and are comfortable interacting with technical stakeholders and clients
You actively seek feedback and want to improve rapidly
Can share a portfolio of projects, shipped products, or a GitHub with meaningful work
Have built workflow-heavy B2B products, internal tools, or operations software
Experience building software projects (academic, personal, or professional)
Familiarity with Docker and cloud environments is a plus
AI experience is a plus, especially embeddings and retrieval, structured outputs and tool calling, evals, and agentic workflows beyond prompt engineering
You take initiative and enjoy taking responsibility for your work
You communicate clearly and are comfortable interacting with technical stakeholders and clients
You actively seek feedback and want to improve rapidly
Can share a portfolio of projects, shipped products, or a GitHub with meaningful work
Have built workflow-heavy B2B products, internal tools, or operations software