Licorne Society a été missioné par une startup IA en pleine croissance pour recruter leur Backend Engineer.
We’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.
As 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.
Design 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
Core Technical Skills
3–5 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
Bonus
Integrations 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
Mindset
You write maintainable, production-ready code
You thrive in fast feedback loops and small teams
You value clarity, precision, and accountability
Impact: 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.

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