🤖 Who we are

We’re building Mo — a health companion for everyone.

We’re a small team within Alan, on a mission to redefine the future of care by democratizing access to medical expertise. We are building Mo, an intelligent, empathetic, multimodal LLM-based conversational AI assistant able to prescribe, triage, and proactively follow up on care.

Imagine giving every person in the world instant, 24/7 access to personalised medical expertise - through chat, voice, or video. That’s what we are building 🤖.

We kicked off the project in 2023, and we have launched Mo to all our french members (1M) in Q1 2026, making it the first safe AI health companion live at scale in Europe.

🚀 What keeps us up at night

We’re building a medical agent that works — reliably, safely, and at scale.

You’ll work at the intersection of product engineering, ML engineering, and medical expertise. Our mission is to build the most accurate and reliable medical agent in the world, while delivering an outstanding conversational experience. Things we’re working on:

💬 Deliver the most memorable chatting experience — You’ll work on making Mo the obvious choice when it comes to asking a health question. It means having a world-class snappy and delightful chatting experience, blazing fast time to answer, and rich content shared.
🧱 Integrate Mo with Alan services and our healthcare system — You’ll work on integrating Mo with our other services (digital chat with HP, map of physical location of HPs, tailored prevention programs, …) to help members get from words to actions.
➕ Extend our architecture to support the next chapters of Mo — You’ll work on our architecture, and agentic framework, to support Mo’s next needs (get more context, use new skills, be accessible in other countries we operate in)

If you’re excited by the idea of building the future of healthcare, this is the team for you - we're at the start of the journey. If you’re curious, here is a paper we published recently.

🎯 Is it you we’re looking for?

We’re looking for Product engineers with 3+ years of experience who get excited about building state-of-the-art AI systems and applying them to real-world, high-stakes problems in healthcare.

You’ll work at the frontier of LLMs, multi-agent architectures, and human-in-the-loop learning — and see your work deployed in production, helping real people.
You’ll implement new capabilities for Mo, working across engineering, data, and medical expertise
You'll have deep product ownership over the use cases supported in Mo, making sure we actually help our members get and stay better.
You’ll have significant influence on system architecture and code quality
You’ll mentor engineers, contribute to our product & engineering culture, and help build the team (including participating in hiring, shaping our interview loops, etc.).

You would be a good fit in Mo if most of this sounds like you:

Applied background in software engineering and systems architecture
Experience with traditional ML, or LLMs, or ML dev ops is a big plus.
Product-minded: you want your solutions to be used, and impactful
Self-directed, pragmatic, driven, hard working
Humble and still willing to grow (no matter your seniority!)
Collaborative, enthusiastic about teamwork, learning, and teaching
Fluent in English (no need to speak French!)
Ex-founders are typically great fit in our team

But above all, we are looking for high potential and curiosity: make sure to show us this when you apply! Everything else is a bonus.

🤘 How we do it ?

We benefit from Alan’s platform, infrastructure, distribution, and health expertise — but operate with the speed and focus of a startup. If you’re curious about Alan’s broader vision, our Shareholder Letters are worth a read.

People joining Alan are often surprised and delighted by our innovative working method. We have a set of cultural values that guide our approach to work, such as:

How we work: our Leadership Principles

Mission is the Boss — We think long-term and are methodical optimists who take risks, seeking our mission's success above all else.
Distributed Ownership — Accountable enlightened despots: everyone owns their decisions and results.
Radical Transparency — All information is accessible and written-first, so everyone can make the best decisions asynchronously.
Always Growing — Direct, positive, and caring feedback, combined with self-growth ownership.

🙌 Perks & Benefits

At Alan, we believe that being in good health is a basic need, and it starts with our employees. This is why Alaners are provided with a stimulating environment and perks ensuring they are happy, efficient and spend only high-quality time with co-workers.

Therefore, we offer:

Fair rewards. Generous equity packages complement your base salary.
Flexible Office. Amazing office space at our HQ, sponsored co-working hubs or a full-remote experience with home office equipment sponsorship, we want you to live where you’re the happiest.
All the tools you need. Top of the range equipment: Macbook Pro, keyboard, laptop stand, monitor, and noise-canceling headphones.
Flexible vacation policy and flexible working hours. Organize your time as you wish.
Delightful healthcare insurance: Extremely comprehensive health insurance - 100% for you and your children, 90-100% for partners depending on your country (permanent contracts only).
Transport. Country-specific commuter benefits.
Learning & Training opportunities. A highly flexible Training policy free books and budget to attend and speak at conferences if the opportunity arises.
Personal growth through coaching: At Alan, coaching isn't just a perk - it's core to who we are. Every Alaner is paired with a dedicated coach from day one, who helps maximize their impact, nurture engagement, and navigate Alan's values to develop their full potential. Learn more about our coaching culture.
Parental leave. Extended parental leave for all new parents.

Important note: we hire people, not roles.

If you're excited about this opportunity but don't check every box, we'd love to hear from you. Everyone, no matter how underrepresented, should feel free to apply as it can only bring learnings or success.

If you identify yourself as a woman: Did you know that research shows women often apply only when meeting 100% of requirements?

Remember, this is just a guide, not a checklist.

We'll be thrilled to receive your application!

🔖 Check out our About Alan and Career pages, as well as our Medium, blog and Glassdoor page for more info.

#LI-DNP

Fullstack Software Engineer - Mo team (AI Health Companion)