Fullstack Software Engineer (x/f/m) - AI Health Assistant

Alan; Paris; Hybride; EUR 50 000 - 70 000; Plein temps

Résumé du poste

A health technology company in Paris seeks a candidate to redefine care delivery using advanced technology. You will work on LLMs, implement new capabilities, and help scale systems. This role suits those with strong software engineering skills and a collaborative spirit. The company offers flexible work arrangements and comprehensive benefits, fostering personal growth and coaching from day one.

Prestations

Generous equity packages

Flexible working hours

Comprehensive health insurance

Training opportunities

Coaching culture

Extended parental leave

Qualifications

• Strong background in software engineering, systems architecture with a spike in back-end engineering.
• Experience with traditional ML or LLMs is a big plus.
• Self-directed and pragmatic; humble and willing to grow.
• Collaborative and enthusiastic about teamwork.

Responsabilités

• Work on LLMs, multi-agent architectures, and human-in-the-loop learning.
• Implement new capabilities for Mo, working across engineering and data.
• Ensure scalability from thousands to millions of active members.
• Significant influence on system architecture and code quality.
• Mentor engineers and participate in hiring.

Connaissances

Software engineering

Systems architecture

Back-end engineering

Traditional ML

LLMs

ML dev ops

Fluent in English

Outils

Macbook Pro

Noise-canceling headphones

Description du poste

Overview

You. Better. With Alan.

Alan's vision is to make prevention the new norm of care for all. Our mission is to help people live in good health to 100 while helping employers feel proud, turning health benefits from a cost center into their most valuable investment.

We're building a vertically integrated health partner that seamlessly unites insurance and smart healthcare delivery into one system. By connecting all aspects of care - private, public, and direct to consumer - we create the most member-centric healthcare experience. Through deep engagement, we empower everyone to overcome day-to-day health obstacles and live healthier lives.

We partner with 35K+ companies of all sizes, serving more than 950+ members, and have reached 680M+ in ARR. Our team of 700 people (still growing) operates across France, Spain, Belgium, and Canada.

The Mo team is on a mission to redefine the future of care by building Mo, your health companion. Mo is 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 the Mo team is building.

We kicked off the project in 2023. After a strong R&D phase, we’re now testing real products with real users, and about to scale fast.

Responsibilities

• 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 work on making our systems and product scale, going from thousands to millions of active members in a short timeframe.

• You’ll have significant influence on system architecture and code quality.

• You’ll mentor engineers, contribute to our product and engineering culture, and help build the team (including participating in hiring, shaping our interview loops, etc.).

Qualifications

• 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 work on making our systems and product scale, going from thousands to millions of active members in a short timeframe.

• 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 at Alan if most of this sounds like you:

• Strong background in software engineering, systems architecture, with a spike in back-end engineering.

• 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 and pragmatic

• 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!)

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.

For this opportunity, we are aiming to hire within the D-F level range.

What we offer (Benefits)

• 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.

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.