Fullstack Software Engineer (x/f/m) - Agentic Platform

Not for symptoms to get worse. Not for a six‑month appointment. Not for a system to catch up. But that’s exactly how healthcare works today. You wait, until you can’t.

Alan exists to end the wait.

Health is a universal right, and we believe this right can only become real when it’s coupled with prevention. We need to stop treating health as something we repair and start treating it as something we build, every day. It’s not solely a question of willpower. It’s the healthcare system itself that needs to work for everyone, in a sustainable way.

So we are building the new standard in prevention insurance. Alan is the first company that integrates insurance, prevention, and care into a single, acclaimed user experience.

We are on an incredible journey to build a global leading company, with a unique culture. We already partner with 40K+ companies of all sizes, serving more than 1M+ members, and have reached €800M+ in ARR.

Prevention as the new norm. That's what we're building with our team of 1000+ people. If it speaks to you: we're hiring across France, Spain, Belgium, and Canada. And beyond.

In our engineering team, we build the infrastructure, interfaces, and applications to provide first-class service to our members, health professionals, and even ourselves!

Being an engineer at Alan means joining a team of talented, committed and passionate engineers, with a lot of product interaction.

We move fast, with a lot of ownership, and are proud to tackle big problems!

Our process is very simple: those who make product decisions are the same ones who build them.

Want to know more? Read this article if you want to discover how life as an Engineer at Alan and this article on our Engineering career pat

Python services on FastAPI, async SQLAlchemy and PydanticAI, Temporal for durable execution, PostgreSQL, MCP, Daytona sandboxes, various LLM model providers, Terraform on AWS, React with Vite. Our main backend is a Flask monolith. We deploy daily and believe in distributed ownership: you build it, you own it.

In 2027, we expect to run more AI agents than we have employees.

Agents already do real work at Alan. They answer members' health questions, resolve support requests, read medical documents, detect fraud, automate operational tasks, and write a large share of our code.

But every team building an agent ends up solving the same hard problems again: how to call models safely with health data, how to give an agent tools and the right permissions, how to know whether a prompt change made it better or worse, how to debug what it did. The result: several agent frameworks and evaluation stacks, each with its own security and compliance story.

The Agentic Platform area was created to fix that. Our mission: make it cheap, fast and safe for every Alaner or crew to build, run and improve agentic products and workflows.

We own the environment agents run in (infrastructure, runtime, evaluation, observability, skills lifecycle), with security, privacy and compliance by design, and the generalist products on top: Hopper and the Agent Studio. Product teams and all Alaners own their agents, skills, and their outcomes. We give them the paved road.

• 🧠 One runtime for every AI product. A shared agent framework, from a single model call to multi-agent workflows with live streaming, and one gateway to every model: routing, failover across providers, quotas and cost per use case built in.

• ⏳ Agent sessions that last for hours. Durable sessions, started from the web, Slack, Linear or GitHub, that survive pod restarts and deploys, and pick up exactly where they left off.

• 📦 Sandboxes at scale. An isolated environment for every agent session and every evaluation, on an infrastructure compliant with sensitive data, with negligible boot overhead.

• 🔌 One tool gateway to the whole company. An MCP gateway that connects agents to internal tools and data, external services, computer use, managing identity and credentials.

• 🔐 Agents safely acting on critical data. We give each agent no more than the access it needs. Every tool call goes through identity, permissions, confirmations and audit. No sensitive data leaks.

• 🧪 Evals you can replay in time. Re-run an agent or skill against production as it was at a past point in time, on real data, safely isolated. Anyone can ship knowing their change is an improvement rather than a regression.

• 🔁 Agents and skills that proactively fix themselves. Every run is traced, and every human correction, failed tool call or escalation becomes a prioritized fix that Hopper can apply.

• 📚 Skills as a product. A registry where Alaners and teams publish, share and version their skills, so that nothing needs to be repeated twice.

• ✨ AI that non-engineers can own. Alaners who ship code through Hopper, Operators or Sales who build their own agents or skills in our Studio and operate them from their day-to-day tools.

• ⏰ Automations and artifacts. Agents that run on a schedule or on an event, and build the dashboards and hosted sites that become the go-to places for collaboration.

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  Own some of the problems above end to end, from design to production, with significant influence on architecture and code quality

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  Work closely with the people who use what you build: Alaners, product teams, ops

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  Own reliability, cost and security in production

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  Mentor engineers, contribute to our product and engineering culture, and help build the team

• 3+ years in software engineering, with solid backend fundamentals

• Platform-leaning or product-leaning: both are welcome. Depth in at least one of: distributed systems and runtimes, evaluation and data quality, security and authorization, product UX

• A good sense of user and developer experience, whatever you build

• You built products, platforms or infrastructure used by other people

• Experience with LLM APIs, agent frameworks, evals or MCP is a strong plus; ML or MLOps experience is a plus

• You measure success by adoption, not by what is available

• You make concrete tradeoffs between speed, reliability, cost, security and user experience

• You simplify complexity with clear abstractions and maintainable code

• You care about whether people can understand and verify what an AI system did

• You keep up with the latest AI technology and know the open-source AI ecosystem

• Self-directed, pragmatic, humble, collaborative, enthusiastic about learning and teaching

• Excited about AI changing who can build, investigate and automate work

Above all, we look for high potential and curiosity: make sure to show us this when you apply. Everything else is a bonus.

You should be fluent in English (no French required).

• Location: you must be legally eligible to work in France, Belgium, or Spain.

• Remote work: we offer remote work flexibility, but we value in-person collaboration.

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.