Note: this posting is deliberately anonymized. We'll share the company and the full context on the first call. About the role Imagine being the person who builds it all. As the first dedicated AI hire at a small, AI-forward business in Berlin, you'll own the entire data and AI layer: how information is stored, connected, retrieved and put to work. You'll also work closely with stakeholders across the business to set up good structures, processes and habits around it. This is a hands-on IC role with real ownership and a direct line to leadership. The team already uses frontier models and MCP connectors day to day. Your job is to take that much further. What you'll do Own the data and AI layer Design how data flows and connects across the business, and make it clean, structured and usable Build internal document retrieval and search across the knowledge base, docs and communication tools Design and ship automations and agentic workflows that remove repetitive work Find new ways to use AI across the business, then turn the best ideas into reliable internal tools Own access controls, data governance and evals, so the systems are reliable and safe Work with stakeholders Sit with people across the business, understand how they work, and agree on the right structures and workflows with them Run enablement: help a non-technical team become genuinely AI-native Work hands-on with technical teams of partner companies: office hours, short build sprints and practical AI adoption Turn what works into reusable playbooks About you You've shipped agentic / LLM systems in production: agent pipelines, RAG, evals, MCP servers, workflow orchestration Strong production Python across the modern LLM stack (frontier model APIs, vector stores, LangGraph / agent SDKs) You think in systems and data models, not just prompts An evaluation mindset: you measure before you trust Consulting-grade communication: you can sit with an exec or a CTO and walk out with a scoped build Good security instincts and a self-starter who can run parallel workstreams Roughly 3-9 years of experience; shipping matters more than titles Fluent English; based in Berlin or willing to relocate (this is an in-person team) Nice to have Forward-deployed, solutions or platform engineering at an AI-tooling company or startup Early-stage startup or founder experience Public artefacts: open source, technical writing, talks German or another European language A greenfield: you own the whole data and AI layer from day one Real influence on how a small business works, with a direct line to leadership Small, fast, already AI-curious team in Berlin #J-18808-Ljbffr
AI Platform Lead in Berlin Arbeitgeber: TechTree
Techtree ist ein hervorragender Arbeitgeber, der eine einzigartige Kombination aus KI-gestützter Kandidatenintelligenz und einem globalen Netzwerk von Talent Partnern bietet. Unsere flexible Arbeitskultur ermöglicht es Ihnen, Ihre eigenen Verbindungen zu nutzen und dabei signifikante Platzierungsgebühren zu verdienen, während Sie gleichzeitig Teil einer dynamischen Gemeinschaft sind, die auf Vertrauen und menschlichen Beziehungen basiert. Mit regelmäßigen Schulungen und offenen Fragerunden fördern wir das Wachstum unserer Mitarbeiter und bieten Zugang zu hochwertigen Rollen und Gebühren.