Who We Are

Zefir is building an AI autopilot for home sales in Europe, starting in France: an AI agent runs the entire sale and purchase journey end-to-end, orchestrating local brokers, portals, buyers, and documents.

Backed by €60 million from top-tier investors Sequoia Capital and Kima Ventures, we're committed to accelerating life changes for millions of current and future European homeowners.

A note on timing

This role is part of our hiring plan, and we will start hiring for it again from mid-November 2026. We are keeping this page open so that we can meet great engineers before then.

If you apply now, we will reply within two weeks. If your profile is a strong match, we will set up a first conversation before November. Otherwise, we will get back to you when hiring restarts.

With your application, your profile joins our talent pool for up to 2 years. You can ask us to delete it at any time by writing to hiring@zefir.fr.

 

Engineering Team

At Zefir, our Engineering Team is the driving force behind our mission to accelerate life changes. Growing rapidly from 9 to 30+ engineers, we don’t just write code—we solve meaningful problems for our customers.

From ideation to launch and beyond, engineers at Zefir take full ownership of their work, ensuring that every feature delivers the expected impact. We leverage LLM-based development workflows and shared best practices to automate repetitive tasks, allowing us to keep our codebase lean, scalable, and built for speed.

 

Responsibilities/Mission

• Develop and deploy robust, high-performance APIs using Node.js (TypeScript), Nest.js, and GraphQL.

• Build intuitive frontend applications with React.js and Next.js, delivering outstanding user experiences.

• Collaborate closely with Product Managers and cross-functional teams (Operations, Growth, Brand) to prioritize features and deliver key objectives.

• Own the full lifecycle of features from ideation and design through implementation, deployment, and performance monitoring.

• Write clean, maintainable, thoroughly-tested code to ensure fast deployments and continuous improvement.

• Implement comprehensive end-to-end (E2E) tests to ensure reliability and reduce code review cycles.

• Proactively contribute to strategic decisions about the future direction of our web applications and infrastructure.

• Leverage LLM-based libraries and implement key AI-driven functionalities (RAG, memory, agentic workflows) using stacks like Pinecone and Langchain.