Full Stack Software Engineer, Alan
Agentic Platform
Salary not provided
Plus equity
Slack
Mid and Senior level
Remote from France, Spain
Digital healthcare insurance
Be an early applicant
Digital healthcare insurance
1001+ employees
HealthcareB2CB2BInsuranceSaaSMobile
Be an early applicant
Salary not provided
Plus equity
Slack
Mid and Senior level
Remote from France, Spain
1001+ employees
HealthcareB2CB2BInsuranceSaaSMobile
Company mission
To make the healthcare system frictionless, fair and friendly for everyone.
Role
Who you are
- 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)
- 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
- 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
- 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
- Two crews, one team:
- Hopper is every Alaner's AI companion. Five months after it started, 80% of Alaners use it, 3k sessions are created each day, and about 30% of our pull requests are opened from it (watch how we built it)
- AI Product Platform builds the shared blocks every AI product at Alan runs on. For instance, our ops teams now build agents autonomously on our Ops AI Platform
- 🧠 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
- Own some of the problems above end to end, from design to production, with significant influence on architecture and code quality
- Work closely with the people who use what you build: Alaners, product teams, ops
- Own reliability, cost and security in production
- Mentor engineers, contribute to our product and engineering culture, and help build the team
Our take
Alan addresses health insurance for businesses and employees in Europe through a healthcare app, backed by official regulatory approval. This endorsement grants Alan the ability to offer a wide range of regulated healthcare insurance services, distinguishing itself in the market.
Focused on user experience and customer satisfaction, Alan employs a people-centric approach, streamlining insurance claims and designing user-friendly health insurance products. While competitors like Babylon and Ada Health exist, Alan's primary focus on health insurance sets it apart.
Despite macroeconomic challenges prompting a goal realignment, Alan achieved significant revenue growth in 2023 and reached a valuation of $4.5 billion in late 2024. This was driven by impressive funding rounds and an expansion of its client base, leveraging AI tools for enhanced productivity. With a robust cash revenue, Alan plans to sustain growth, consolidate its position in the existing markets, and explore expansion into new territories, positioning itself for a potential future IPO.
Freddie
Company Specialist at Welcome to the Jungle
Insights
Top investors
13% employee growth in 12 months
Company
Funding (last 2 of 9 rounds)
Jun 2026
$449.2m
GROWTH EQUITY VC
Mar 2026
$112.3m
LATE VC
Total funding: $1.3bn
Company benefits
- Fair rewards: Generous equity packages complement your base salary, for permanent contracts only
- 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 Bose noise-cancelling headphones
- Flexible vacation policy and flexible working hours: Organise your time as you wish
- Delightful healthcare insurance: Extremely comprehensive health insurance - 100% of the contribution covered by Alan for you and your family, for permanent contracts only
- Transport: Country-specific commuter benefits
- Learning & Training opportunities: A highly flexible Training policy free books and a budget to attend and speak at conferences if the opportunity arises
- Parental leave: Extended parental leave for all new parents, for permanent contracts only
Company HQ
Plaine-Monceau, Paris, France
Leadership
Charles Gorintin
(Co-Founder & CTO)Co-founding Advisor at Mistral AI. Previously a Data Scientist at Facebook, Instagram, and Twitter.
Jean-Charles Samuelian-Werve
(Co-Founder & CEO)Co-founding Advisor and Board Member at Mistral AI. Previously co-founded Expliseat.
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