AI Engineering & Automation Specialist (on-site)

do faster and better. You'll build the systems that make that real: agentic pipelines, MCP servers, and internal tools that change how we operate day-to-day, not in some future roadmap. Success in this role means colleagues stop doing the work you've automated, and start doing the work only they can do.You'll report to Florent (Head of Operations & Energy) and work within a team of amazing people alongside.Your missionDesign, build, and ship end-to-end agentic systems, RAG pipelines, embeddings, retrieval, prompt engineering, and evaluation, that automate Cloover's highest-volume internal workflows.Build and deploy custom MCP servers and integrations connecting HubSpot, Slack, Notion, Aircall, and other tools, so data flows where it needs to without manual work in between.Write production-grade Python and TypeScript with sound schema design, security, and authorization, code that ships and runs, not prototypes that sit.Own internal tooling end-to-end: spot the gap, build the tool, and deploy it on Firebase, Vercel, or GCP with proper version control and CI/CD.Build custom Claude Code skills, plugins, and connectors, then onboard colleagues into AI-native workflows that they actually keep using.Partner with Ops, Energy, Sales, CS, and Finance to identify the highest-leverage automation use cases, then personally implement them.Your profileWe care more about how you think and what you've built than where you've been. Here's what will set you up for success in this role:You've shipped agentic systems, RAG pipelines, or AI-powered tools, in school, side projects, hackathons, or work, not just experimented with prompts in a chat window.You write production-grade Python and/or TypeScript and can defend the trade-offs in your code.You're comfortable wiring REST APIs, webhooks, and authentication across third-party tools (HubSpot, Slack, Notion, or similar) and can model data sensibly.You identify the gap, scope the solution, and ship it without waiting to be told what to do.Based in Berlin and energized by being in the room. We're intentionally office-first,  decisions get made in real time, prototypes get stress-tested over lunch, and the founding team is ten meters away. If that's how you thrive, you'll feel at home here.Nice to have (but not required):Hands-on experience with MCP, Claude Code, or agentic frameworks like LangChain, CrewAI, or Google ADK.German language proficiency (B1 or above), useful for collaborating with the Ops & Energy team.Don't meet every requirement? Apply anyway. We hire for potential and perspective,  credentials are a starting point, not a ceiling.How we hireWe keep things transparent and respect your time. Most go from first call to offer in under three weeks.Intro call (30 min) — We want to understand what you're looking for, not just screen your CV.Hiring manager interview (30 min) — We go deep: your experience, your thinking, how you approach problems.Case study (1 hour) — You get the brief in advance. We care about your approach, not whether you land on the right answer.Offer & signed contract.Need any adjustments at any stage? Just let us know.Why us?Competitive pay. Fair compensation for your time and contribution, benchmarked to the Berlin internship market.AI-first & unthrottled. Unlimited enterprise-grade AI, no caps, no approval process. Every role, every team. The grunt work disappears so you can focus on what actually requires human judgement.Real ownership on a real mission. From day one you're shaping decisions that impact thousands of installers. We're not just building software, we're powering the energy transition across Europe.Grow faster than anywhere else. You'll work directly alongside the founding team and world-class investors. If you're building toward your own venture one day, there's no better room to be in.The basics, done well. Prenzlauer Berg office with the latest Apple hardware. Free breakfast and dinner, stocked kitchen, regular team events, 25 days vacation, Urban Sports Club (M), and company discounts.