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

About

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.

Our mission: Help people live in good health to 100 while helping employers feel proud, turning health benefits from a cost centre into their most valuable investment.

By connecting all aspects of care (private, public, and direct to consumer) we create the most member‑centric healthcare experience, reducing claims costs while generating new monetisation opportunities.

We partner with tens of thousands of companies across France 🇫🇷, Spain 🇪🇸, Belgium 🇧🇪, and Canada 🇨🇦, serving over a million members.

We have 35 K+ companies of all sizes, more than 1 M users, and have reached €770 M+ in ARR. Our team of 700+ people (still growing) operates across France, Spain, Belgium, and Canada.

---

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.

---

Culture & Values

🎯 What drives us

• Mission is the Boss: long‑term thinking, mission above all else
• Member & customer‑led: obsessed with solving problems and delighting users

🏆 How we build excellence

• Champions of excellence: extremely high standards and talent density
• Distributed ownership: everyone owns their decisions and results
• Radically transparent: all information accessible, written‑first, async decisions

🤝 How we grow together

• Optimistic alchemy: optimists who collaborate with genuine care
• Empathetic challengers: direct, caring feedback to help each other grow
• Bold contrarians: think differently, try new approaches

⚡ How we move fast

• Disciplined execution: decisive action with compounding focus
• Fight for simplicity: high‑impact processes, smart frugality

---

🤖 Ops AI Platform team

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.

The Ops AI Platform will let our Ops team create, evolve, and monitor their own AI agents to automate thousands of tedious tasks. The project just launched; you’d join at ground zero, shaping the architecture, the product, and the entire foundation.

⭐ Our north star

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

---

Skills & Responsibilities

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.

Key focus areas:

• 💬 Integrate agents at the heart of internal tools – UIs where Ops monitor and take action on concrete business situations. Enable context‑aware chat modals, allowing users to review agents’ reasoning, actions, and provide follow‑up instructions with instant impact on business data.
• 👥 Empower non‑technical users to become autonomous in the creation and maintenance of agents to automate operational tasks at scale: prompting, tools configuration, testing, datasets, replayability, evaluations.
• 🔧 Build a complete set of tools made available to AI agents, connecting to internal and external capabilities: internal business data, external servers, external web dashboards without API, etc.
• 💯 Safety and accuracy at the core: robust testing, stateful evaluation, progressive rollout, human‑in‑the‑loop to validate sensitive actions, fine‑grained permissions and limits.

In 6–12 months we plan to increase our scope by owning the AI platform that will power all agentic use cases at Alan, creating economies of scale thanks to common infrastructure and tooling.

---

🎯 What 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 operations.

You will:

• 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.
• Implement new capabilities for AI agents, as well as tooling to make ops autonomous on the creation, evolution, monitoring, and evaluation of their agents.
• Scale the system from a few dozen to tens of thousands of tasks automated daily.
• Have significant influence on system architecture and code quality.
• Mentor engineers, contribute to our product & engineering culture, and help build the team (including participating in hiring).

You would be a good fit 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 DevOps 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!).

Above all, we are looking for high potential and curiosity—show us this when you apply!

We are aiming to hire within the D‑F level range.

---

🙌 Perks & Benefits

• Fair rewards – Generous equity packages complement your base salary.
• Flexible office – Amazing HQ space, sponsored co‑working hubs, or full‑remote experience with home‑office equipment sponsorship.
• All the tools you need – MacBook Pro, keyboard, laptop stand, monitor, and noise‑cancelling headphones.
• Flexible vacation policy & working hours – Organise your time as you wish.
• Delightful healthcare insurance – 100 % coverage for you and your children, 90‑100 % for partners depending on country (permanent contracts only).
• Transport – Country‑specific commuter benefits.
• Learning & training – Flexible training policy, free books, budget to attend and speak at conferences.
• Personal growth through coaching – Every Alaner is paired with a dedicated coach from day one.
• Parental leave – Extended parental leave for all new parents.

Important note: we hire people, not roles.

---

🔄 Application Process

If you’re excited about this opportunity but don’t check every box, we’d love to hear from you. Everyone, especially under‑represented candidates, should feel free to apply—diversity brings learning and success.

If you identify as a woman: research shows women often apply only when meeting 100 % of requirements. 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 for more info.

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.