We've hit Product-Market Fit. Crafting a UX so intuitive so that anyone can master AI and build the technical foundation to handle millions of secure LLM calls per month. Our engineering challenges for 2026:
Synchronize and index terabytes of client data and handle their permissions
Process millions of LLM calls per month and our users expect high reliability
Build the base infrastructure for our custom integrations team so that they can integrate new systems within few hours
Design, build, and maintain robust API integrations and MCP servers that connect our AI platform to diverse customer systems (ERPs, databases, internal APIs).
Example projects
Extend our on-premise Data Vault to securely synchronize and index a new, unstructured data source for an enterprise client.
Design and prototype a support bot trained on a 200k+ email archive, evaluating its performance and path to production.
Implement a scalable data ingestion pipeline to process and chunk several gigabytes of PDF documents for use in our AI context.
You have professional experience in a modern programming language, preferably Python or TypeScript.
Benefits
Enjoy flexible working hours with the option of 2 days/week in the home office.
Further perks like the access to 10,000+ sports facilities with the EGYM Wellpass, a €1,000 annual learning budget and the Deutschlandticket.
We use AI tools (Cursor, Claude Code etc.) Healthy Ambition: We have huge goals but are committed to a healthy work environment - and make sure that our people are feeling well.
Security & Reliability First: As an enterprise platform, the security of customer data and the reliability of our systems are our highest priorities.
React, TypeScript, tRPC, PostgreSQL, Kubernetes, Docker
AI Services integrated into the Platform: OpenAI, Gemini, Claude, Mistral, Perplexity, Flux, Gladia (audio transcription)
A short chat about your motivation and our mutual expectations.
Technical Interview (Remote, 90 min):