Fullstack Software Engineer (AI Health Companion)

Requirements

• 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.
• 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.
• 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.

What the job involves

• 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.
• 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.
• 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.).