Licorne Society a été missioné par une startup IA en pleine croissance pour recruter leur Backend Engineer.About The CompanyWe’re building the AI copilot for notaries and real-estate professionals, automating complex legal workflows and document analysis.Our platform combines FastAPI, PostgreSQL, LLMs, and knowledge graphs to reduce transaction times by over 80%.Having reached early product-market fit, we’re now scaling rapidly — expanding data pipelines, integrations, and AI-powered document logic.You’ll join a small, focused engineering team at the moment when product architecture still shapes the company’s future.Role OverviewAs Backend Engineer, you’ll build the core systems behind a high-trust, mission-critical product used daily by legal professionals.You’ll work closely with our Lead Backend Engineer, Lead Frontend Engineer and Lead LLM Engineer to design APIs, improve performance, and ship new AI-driven features.We iterate fast and value reliability, ownership, and clarity of thought.What You’ll DoDesign and ship clean, well-tested REST APIs using FastAPI Implement business logic for document processing and data flows Design and optimize PostgreSQL schemas and queries (SQLAlchemy) Integrate with third-party APIs (Stripe, HubSpot, OCR/AI providers) Contribute to background jobs and async pipelines (Celery, Redis) Write tests and CI pipelines ensuring reliability at scale What We’re Looking ForCore Technical Skills3–5 years of backend development with Python Solid experience with FastAPI (or Flask) Strong grounding in PostgreSQL and SQLAlchemy Skilled in REST API design, testing (pytest), and Git workflow Familiar with Docker, Google Cloud Tasks BonusIntegrations with Stripe, HubSpot, OCR, or AI APIs Experience with Azure or Google Cloud Background in document automation or legal tech Understanding of async programming and performance tuning MindsetYou write maintainable, production-ready code You thrive in fast feedback loops and small teams You value clarity, precision, and accountability What You’ll GetImpact: Build the infrastructure behind a product handling real estate transactions worth millions. Learning: Collaborate with senior engineers working at the frontier of AI, data, and legal tech. Ownership: End-to-end responsibility on features that ship fast and matter. Compensation: Competitive salary + stock options.