AI Software Engineer (senior/staff level)

At the company, our mission is to we help consumers save time and money when shopping online or in-store.

Founded in Paris, the company is a tech company and certified B Corp with over 120 talents across Paris, Barcelona, and New York (and beyond). More than 7 million users already save money every day at 10,000+ merchants with the company.

From cashback and automatic coupons to price alerts, we've kept expanding our products to make shopping smarter. Today, the company is an AI shopping app: with Juno, our shopping assistant, users can find the right product at the best price in only a few seconds, with recommendations that get sharper the more they use it.

Having reached profitability in our core market, we’re now scaling globally, with a strong focus on the US.

It’s still day 1, come build the future of shopping with us!

This position is remote-friendly (France and Spain).

📱 OUR ENGINEERING TEAM

Our Engineering team excels at solving cutting-edge technical challenges with elegant solutions. With a strong focus on product innovation and design, they are shaping the future of the online shopping experience. Their ambition is to have a positive impact on the everyday lives of hundreds of millions of users around the world.

Software Engineers in the Engineering team work hand-in-hand with the Product team, from exploration, design, and roadmap prioritization to implementation, and deployment in production. At the company, we have firsthand experience that teams with engineers who possess a diverse range of skills, and where engineering and product collaborate closely, are able to deliver a truly delightful and innovative user experience.

The Engineering team is currently growing fast to continuously innovate on all parts of our product and tech stack and to empower the revolution of the way people shop online.

🎯 WHAT YOU WILL DO

As an AI Software Engineer, you will own the development and continuous improvement of the company AI — our AI shopping agent that seamlessly guides users to the ideal product whatever their intent — helping them save significant time by taking into account all relevant considerations (price, quality, reviews, environmental impact), across every product sold by any e-commerce merchant in the world. Working closely with Alex, our CTO, and alongside a small team of world-class engineers, sitting at the intersection of applied research and production.

• Agent architecture: You will own the architecture of our agentic system — ensuring it constantly evolves, incorporates the latest advancements in the field, challenges existing assumptions, tests bold ideas, and pushes the boundaries of what our AI assistant can do.

• Evaluation & monitoring: You will design and run robust evaluation frameworks to measure the company AI's performance, catch regressions, and build confidence before shipping to production.

• Capabilities & integrations: You will constantly expand the set of tools and capabilities that the company AI can leverage — web search, vector search, ever-smarter catalog lookups — making the agent more resourceful, faster, and more reliable at scale.

• Catalog & data at scale: Great recommendations start with great data. The company AI is powered by a product catalog of hundreds of millions of entries, continuously updated. You will tackle the massive challenges of ingesting, standardizing, and enriching this data at scale, where AI itself plays a key role.

• Personalization: the company has access to uniquely rich data — bank transactions and browsing behavior through the browser extensions — giving us unparalleled insight into user preferences and shopping patterns. You will leverage these signals to deeply understand user intent and build a truly personalized experience — making the company AI feel like it genuinely knows what you're looking for.

• Experimentation & prototyping: You will constantly push the company AI forward by identifying new challenges and building new features for the agent. You will prototype fast, put early versions in users' hands, and iterate based on real feedback

• Staying ahead: You will stay on top of the latest models, agentic frameworks, and research papers, and translate what's emerging into concrete improvements for the company AI.

• Fine-tuning & optimization: You will fine-tune models to improve quality, reduce latency, and cut costs — always with a production-grade mindset.

• Runtime & scalability: You will iterate on the backbone and infrastructure the company AI runs on, ensuring it handles hundreds of thousands of daily users with zero downtime and minimal latency.

• Product collaboration: We are inventing an entirely new shopping experience with the company AI — and much of what the ideal UX looks like is still to be defined. You will work hand-in-hand with the Product team, exploring bold design directions, imagining what the future of AI-assisted shopping can be, and turning that vision into reality from early concept to full rollout.

👀 WHO WE'RE LOOKING FOR

• Experience: You have 5+ years of software engineering experience, including time building and shipping production systems. You've operated at a senior or staff level and you're used to owning ambitious projects from design to production.

• Track record: You've ideally built production AI systems that real users rely on, and you care deeply about code quality, separation of concerns, and testing.

• Technical skills: You are deeply familiar with agentic frameworks (LangChain, LangGraph, or equivalents), LLM observability tools (LangFuse or equivalents), LLM APIs, and evaluation tooling for AI systems. An AI/ML background or degree is a strong plus, but not a blocker.

• Builder's mindset: You love building from scratch. You are not precious about your ideas — you ship, test, learn, and iterate fast.

• Full-stack spirit: You are comfortable going from AI logic to infrastructure to frontend prototyping when needed. You don't stop at your lane.

• Fast learner: The AI landscape moves fast. You thrive in it. You follow the research, experiment with new models and tools, and you are always slightly ahead of the curve.

• Problem solver: You approach hard technical problems methodically. Latency, cost, hallucinations, long-term memory — you know these challenges and you enjoy tackling them.

• Team player: You work closely with Product, iterate with users, and communicate clearly about what's working and what isn't.

• Drive & ownership: You take full ownership of your scope. You don't wait to be asked — you spot issues, propose solutions, and ship.

• Language: You are fluent in English (written and spoken).

• Mindset: You have an entrepreneurial mindset, you like challenges, you welcome feedback and you love constantly learning and getting better.

💎 OUR PERKS

(Some of the benefits listed below are available to full-time positions only)

At the company, we believe that flexibility and trust are essential. Our work environment reflects this through:

• Flexible remote : If you live in Paris, you can choose to work from our office or from home with no constraints. If you live elsewhere, we can provide access to a coworking space and a coworking budget.

• Work from anywhere : Want to spend a month in Italy while working? You can work from most countries in the world for up to 3 months per year.

On top of that, we offer plenty of perks

• 💸 Top-market compensation

• 📈 Equity for everyone with the chance to own a piece of what you build

• 🤖 Half-day each week dedicated to leveling up with AI by exploring new tools, iterating hard, and sharpening your skills

• 🌴 Yearly offsite in amazing locations and budget for team-building events & monthly in-person gatherings

• 💪 Contribution to your ClassPass subscription

• 🍼 8-week leave paid 100% for the second parent

• …and much more, check the full list here [link for members]

🤝 OUR HIRING PROCESS

• Intro call: Quick screening with the Hiring Manager or the Talent team.

• Step 1 – Team interview (45 min): Conversation with two the company team members (could include the Hiring Manager, people from the team you’d join, or colleagues from other teams).

• Step 2 – Role-specific assessments

• For non-engineering roles: A take-home case study followed by a 45-min interview. We assess both your output and how you think in real time. The exercise will be relevant to your role (e.g. analysis, strategy, or process design).

• For engineering roles: A 90-min live technical interview on CoderPad covering code understanding, review, system design, and product thinking (with AI serving as a collaboration tool).

• Step 3 – Leadership interview (45 min): Conversation with a SteerCo member and a Founder.

• References: Up to 3 calls with former colleagues or managers.

☕ You may also be invited for coffee with team members to get a feel for our culture.