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AI Engineer Intern

Organismo
Meetdavis
País
🇫🇷 Francia
Lugar
Paris
Puestos
1
Tipo de vínculo
privado

Descripción del puesto

TLDR; Davis AI is looking for an AI Engineer Intern to help solve one of the hardest problems in applied AI: building multi-agent systems that remain reliable across long, complex real-estate workflows. You will work on the core delivery pipeline - from context assembly and tool orchestration to verification, storage, evaluation, and observability. About Davis Davis is an AI-native real estate company accelerating early-stage development and architectural design. Today developers coordinate 4-5 fragmented stakeholders over weeks or months. Soon they'll need only one: Davis. We turn every input that shapes a development decision into decision-ready outputs: investor-grade feasibility studies, investment analysis, and architect-certified designs, delivered in days. Every stage pairs our proprietary AI systems with expert review, so velocity never comes at the cost of reliability. We closed a $5.5M pre-seed co-led by Heartcore Capital and Balderton Capital , with Yellow, Evantic and Entrepreneur First, alongside angels from the founding teams of Spacemaker, Black Forest Labs, Hugging Face, Supabase, Cleo and Spore Bio. We already work with leading developers and expect to support hundreds of projects over the coming year, deepening our research, our hiring, and our coverage of the development process end to end. Where We Operate Early-stage development starts with a chain of high-stakes decisions , each requiring different data, different expertise, and different deliverables. Today, we deliver AI-powered outputs across the full spectrum - feasibility studies, architectural design, investment analysis, financial modeling, and more. You will: Own one delivery pipeline end to end: market, financial, or regulatory analysis. Build the harness around the model: context engineering, tool orchestration, verification, report generation. Build the tools agents rely on: open data (cadastre, zoning, transactions, demographics), extraction from regulatory PDFs and plans etc. Turn

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