Fullstack Software Engineer (x/f/m) - Ops AI Platform

Alan is building a vertically integrated health partner that unites insurance and smart healthcare delivery into one seamless system. Our vision is to make prevention the new norm of care for all.

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

🎯 What drives us - We're obsessed with helping members live healthier-

**We're building something that doesn't exist yet.Imagine a platform where AI agents autonomously handle operational work - connected to every internal and external tool, trained by operators themselves, running safely at scale. No engineers needed. No bottlenecks. Just agents that work.

That's what we're building. The Ops AI Platform will let our Ops team create, evolve, and monitor their own AI agents to automate thousands of tedious tasks. We aim to crack problems no one has solved at this scale.

The project just launched. You'd join at ground zero - shaping the architecture, the product, the entire foundation.

If building the future of work from scratch excites you, this is it.**

We're building ops agents that work reliably and safely, without putting the engineering team on the critical path.

You'll work at the intersection of product engineering and ML engineering. Our mission is to create the platform that enables building accurate and reliable AI agents, delivering an outstanding experience to our internal Ops team for the creation, iteration and monitoring of their agents, without requiring hard technical skills. Things we're working on:

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 operations.

• You'll work at the frontier of LLMs, tool calling, human-in-the-loop, internal tools UX, multi-agent architectures, and see your work deployed in production, used by our ops team
• You'll implement new capabilities for AI agents, as well as tooling to make ops autonomous on the creation, evolution, monitoring and evaluation of their agents
• You'll work on making our system scale, going from a few dozen to tens of thousands of tasks automated daily
• 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).

**You would be a good fit at Alan if most of this sounds like you:- Strong background in full-stack 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.**

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.

🔄 A quick note about the process
Note: While you're applying for a specific area,, you may join a different engineering team based on where we think you'll have the most impact. Check out descriptions of other areas here.**