About PrimmoWe’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 Overview
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 LLMEngineer 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 Fast
- APIImplement 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 For
- Core
Technical Skills
- 3–5 years of backend development with Python
- Solid experience with Fast
- API (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 APIsExperience 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
- What You’ll Get
- 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.
Environment: Based in Paris, flexible hybrid setup across EU time zones.
- Hiring Process
- Application — send your CV or LinkedIn + short intro
- Technical Take-Home — real-world challenge aligned with our stack
- Technical Interview — deep dive with our senior engineer
- Team Conversation — collaboration and culture fit
- Offer