The company is building an AI-powered platform that automates the end-to-end lifecycle of public procurement participation — from tender discovery and.
This role carries full technical ownership and a direct impact on product direction, architecture, and go-to-market traction.
The platform is built on LLMs, Retrieval-Augmented Generation (RAG), and NLP, and must be fully GDPR-compliant, hosted in EU cloud environments.
Incorporation is in preparation and a public funding application is currently in progress.
What You'll DoDesign and own the overall system architecture, with a focus on GDPR-compliant EU cloud infrastructure (e.
, AWS Bedrock, Vertex AI — Frankfurt region).
Build the core AI engine that generates complete, compelling proposal concepts from structured company data.
Implement entity resolution, reliability scoring, and confidence quantification across data pipelines.
Work deeply in AI/ML (LLMs, RAG, NLP) and/or broadly across full-stack product engineering — depending on your strengths.
Set technical priorities collaboratively within a small founding team.
Contribute to business strategy during the pre-seed phase alongside the other co-founders.
What We're Looking ForMust-haves (dealbreakers):5+ years of experience in product/engineering roles delivering AI-powered software with LLM, NLP, and/or RAG capabilities.
Hands-on experience with GDPR-compliant architecture in EU cloud environments (data handling for NLP/LLM workloads).
Prior experience as a technical founder or technical lead who has built an AI-first product from zero with end-to-end ownership.
Required:Strong, production-g.