Founding Builder

present of AI; Paris; Hybrid; EUR 60,000 - 90,000; Full time

Job summary

Quivr seeks a hands-on, cross-functional builder who owns client projects from understanding the business through to shipping in production. The role spans from front-end to deployment, reading and fixing AI-generated code while keeping multiple projects moving and aligned with stakeholders.

In an AI-centric environment you’ll shape practical AI experiences—agents, retrieval systems, and automations—while ensuring safety and reliability in production.

Qualifications

• Several years of real industry experience.
• Experience across front-end to deployment.

Responsibilities

• Own client projects from understanding the business through to shipping in production.
• Turn repeated pain points into reusable internal tools like agents and automations.
• Communicate clearly with both leaders and frontline users.

Skills

Full stack to production

Frontend development

Code debugging AI outputs

Client communication

Project management

Job description

This is a hands-on, cross-functional builder role. The person owns client projects from understanding the business through to shipping in production, and also turns repeated pain points into reusable internal tools like agents and automations. A strong candidate has a few years of real experience, is comfortable from front end to deployment, can read and fix AI-generated code, and keeps several projects moving at once while talking clearly with both leaders and frontline users.

How it fits the AI era

AI is central here. Coding assistants, agents and LLM workflows do much of the drafting for specs, code and tests, so the value shifts to judging output, catching mistakes and making systems safe to run in production. What stays human is listening to clients, deciding what is worth building, saying no when a request does not fit, and taking ownership when something goes wrong.

How it builds AI experience

The work touches real AI products, including tools for journalists such as news monitoring and multimodal search, plus document quality control and an internal tool that prepares tender responses. Someone in this role would get practical experience with agents, retrieval systems and automation inside client delivery. To prepare, build a small agent or retrieval project, publish it, and be ready to explain what worked and what broke.

Worth showing

• Shipped LLM agent or RAG
• Reading and fixing AI-generated code
• Full stack to production
• Client scoping and communication
• Automating repetitive team processes

This is our own read, written from the employer's posting and the company's Spotlight. The employer's posting is the source of truth for the role.

About Quivr

Quivr is an AI-powered customer support tool that helps teams draft responses, automate replies, and resolve tickets inside platforms like Zendesk, per the company.