Technical Co-Founder
AI Summary
Technical Co-Founder shaping and building an AI-powered, GDPR-compliant public procurement SaaS platform end-to-end, from architecture and data pipelines to LLM-driven features.
About this role
About the Role
A pre-seed AI SaaS startup automating public procurement processes for the DACH region is looking for a Technical Co-Founder to join as the third member of the founding team. You will own the end-to-end technical implementation of a GDPR-compliant, AI-powered platform — shaping its architecture, data pipelines, and LLM-driven features from the ground up.
This is an equity-heavy, founder-level role designed for someone who wants to build a company, not just fill a seat. The company is currently in its pre-seed phase, with incorporation in preparation and a public funding application in progress.
What You'll Do
Join as a technical co-founder with 15–20% equity on a standard four-year vesting schedule with a one-year cliff.
Design and own the overall system architecture hosted in the EU, with a strong focus on GDPR compliance (e.g., using AWS Bedrock or Vertex AI in EU regions such as Frankfurt).
Build the core AI engine that generates complete, compelling proposal and performance concepts from structured company data.
Develop and maintain a reference database for references, certificates, and CVs, and integrate them into auto-generated concepts.
Implement entity resolution, reliability scoring, and confidence quantification across the data pipeline.
Work either deeply in AI/ML (LLMs, RAG, NLP) or broadly across full-stack product engineering, depending on your strengths.
Help set technical priorities and drive architectural decisions within a small, agile founding team.
Contribute to business strategy during the pre-seed phase alongside the other co-founders.
What We're Looking For
Must-haves (dealbreakers):
5+ years of experience in product or engineering roles delivering AI-powered software with LLM, NLP, or RAG capabilities.
Proven experience designing GDPR-compliant architectures in EU cloud environments, particularly for NLP or large language model workloads.
Prior experience as a technical founder or technical lead who has built an AI-first product from zero with full end-to-end ownership.
Required:
Hands-on experience with LLMs, Retrieval-Augmented Generation (RAG), and NLP integration in production systems.
Full-stack development capability with a track record of shipping production-ready AI-enabled products.
Openness and commitment to joining as a technical co-founder with an equity-based compensation structure.
Strongly preferred:
Experience with enterprise-grade data pipelines and secure data handling in EU cloud environments (AWS Bedrock, Vertex AI, or equivalent).
Familiarity with German regulatory context (DSGVO/GDPR, and ideally public procurement law such as VgV).
German language proficiency — the product and target market are German-speaking.
Based in Berlin, or willing to work hybrid/remote within the DACH region.
Mindset:
Pragmatic and shipping-focused — you prioritise working software over endless polishing.
Genuine founder mentality: you want to own outcomes, not just complete tasks.
Comfortable with the ambiguity and pace of a very early-stage startup.
Collaborative — you thrive working closely with a small, high-trust team.
Compensation & Benefits
Equity: 15–20% co-founder equity with a four-year vesting schedule and one-year cliff.
Salary: Compensation during the pre-seed phase is weighted heavily toward equity; cash salary will scale as funding is secured.
Visa sponsorship: Not available — candidates must already have the right to work in Germany.
Location
Primary location: Berlin, Germany (on-site preferred).
Hybrid or remote arrangements within the DACH region are possible depending on the candidate.
Skills
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