Senior AI Engineer

Penta; Paris; Sur place; EUR 60 000 - 80 000; Plein temps

Résumé du poste

A leading tech firm in Paris is seeking an ML / AI Engineer to drive innovation in AI-native solutions for business finance. You will be responsible for the full ML lifecycle, from model development to deployment, collaborating across disciplines to create impactful products. The ideal candidate will have a robust AI background and be fluent in English. The role offers a competitive salary and a dynamic work environment.

Prestations

Dynamic career track

Inclusive work environment

Offices in multiple cities

Competitive salary package

Meal voucher

Transportation reimbursement

Comprehensive health insurance

Mental health support

Childcare benefits

Monthly team events

Qualifications

• Deliver robust, end-to-end AI solutions, not just models.
• Hands-on experience with LLMs, RAG, prompt engineering, and agent-based systems.
• Comfortable across backend and frontend, able to productionize ML models.

Responsabilités

• Drive ML-powered innovation, designing and launching prototypes.
• Deliver tangible ML features and experiments at a rapid pace.
• Own the full ML lifecycle from data exploration to deployment.

Connaissances

AI Systems Builder

Modern AI Expertise

Full-Stack Skills

Cutting-Edge Mindset

Ownership & Collaboration

Customer Focus & Integrity

Fluent in English

Description du poste

Overview

Join us as an ML / AI Engineer to crack the next generation of AI-native solutions and remove friction once and for all for business finance.

As an ML / AI Engineer at Qonto, you will:

• Drive ML-powered innovation: Be at the heart of Qonto’s AI journey, designing and launching prototypes that push the boundaries of what’s possible for our customers.
• Build with velocity and rigor: Deliver tangible ML features and experiments at a rapid pace, blending technical excellence with product intuition.
• Own the full ML lifecycle: From data exploration and model development to deployment and monitoring—you’re accountable for the outcome and learning at every stage.
• Collaborate across disciplines: Partner closely with engineers, product managers, and data scientists to ensure every solution is both technically robust and business-relevant.
• Shape the technical vision: Influence the choice of tools, frameworks, and infra—experimenting with cutting-edge GenAI, scalable cloud platforms, and modern ML ops practices.

About Your Future Manager

You’ll collaborate closely with Sophie, our accomplished product lead. With years of experience driving product strategy and delivery in both fast-growing startups and established tech companies, Sophie has a proven track record of turning vision into reality. She’s led cross-functional teams through the entire product lifecycle, from discovery to launch, always with a laser focus on solving real customer problems.

About You

• AI Systems Builder: You deliver robust, end-to-end AI solutions—not just models, but full products.
• Modern AI Expertise: You have hands-on experience with LLMs, RAG, prompt engineering, and agent-based systems.
• Full-Stack Skills: You’re comfortable across backend and frontend, able to productionize ML models.
• Cutting-Edge Mindset: You thrive on experimenting, learning fast, and using new AI tools and frameworks.
• Ownership & Collaboration: You take responsibility for impact, communicate clearly, and adapt to feedback.
• Customer Focus & Integrity: You prioritize user value and act with transparency.
• Language: Fluent in English.

Perks

• A tailor-made and dynamic career track.
• An inclusive work environment. And so much more to help you succeed.
• Offices in Paris, Berlin, Milan, Barcelona, and Belgrade.
• Competitive salary package.
• A meal voucher.
• Public transportation reimbursement (partial or global).
• Comprehensive health insurance (depending on country).
• Employee well-being initiatives: access to mental health support and wellness offers.
• Disability and childcare benefits with selected partners (1 in 6 employees is a parent).
• Monthly team events.

Our Hiring Process

Interviews with your Talent Acquisition Manager and future managers, followed by a remote exercise to demonstrate your skills and give you a taste of what working at Qonto could be like. The process typically lasts about 20 working days, with results usually following within 48 hours.

About Us

We’re committed to fostering a welcoming environment where everyone can thrive. We prioritize evaluating applicants based on skills and potential, with a diverse team that includes 55% international staff, 44% women, and 20% parents. Apply regardless of the boxes you tick.