Fullstack Software Engineer (x/f/m) -Automated Resolution
Alan is hiring a Fullstack Software Engineer (x/f/m) -Automated Resolution. Level rates it ; you can apply on Level.
AI in this role
Health can’t wait.
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.
🐼 Who we areYou. Better. With Alan.
Alan's vision is to make prevention the new norm of care for all. Our mission is to help people live in good health to 100 while helping employers feel proud, turning health benefits from a cost center into their most valuable investment.
We're building a vertically integrated health partner that seamlessly unites insurance and smart healthcare delivery into one system.
By connecting all aspects of care - private, public, and direct to consumer - we create the most member-centric healthcare experience. Through deep engagement, we empower everyone to overcome day-to-day health obstacles and live healthier lives.
We partner with 35K+ companies of all sizes, serving more than 1M+ members, and have reached 770M+ in ARR.
Our team of 700 people (still growing) operates across France 🇫🇷, Spain 🇪🇸, Belgium 🇧🇪, and Canada 🇨🇦.
🚀 What you'll build and who you'll work withYou would join the product team that builds the AI agents answering our 1M+ members' questions about their health insurance - reimbursements, coverage, claims, account changes and more - instantly and without waiting for a human.
Our AI agents already fully resolve more than 50% of members' questions. Your mission is to push that number further, increase the quality of answers and the trust members place in them, and make our agents work with the other AI agents at Alan, such as Mo our health companion.
Concretely, you will:
Design and ship LLM-powered agents that understand a member's request, reason over their contract, claims and history, and take real actions on their behalf - building the tools, retrieval and context pipelines that give them the right information at the right moment
Make our agents interoperate with other AI agents across Alan, such as Mo: handing off conversations, sharing context and calling each other's capabilities, so members get one seamless experience
Bring automated resolution to new channels, starting with AI phone support: real-time voice conversations with the same quality bar as written ones
Own evaluation: build datasets, automated evals and quality monitoring so we know an agent is right before members see it
Measure and improve resolution rate, answer quality and member satisfaction in production, iterating fast on prompts, models and architecture
Work hand in hand with care experts and product to identify the next topics the AI can fully resolve
⚡ Why this role is special
Direct Impact: Every point of automated resolution means members get help instantly, when they need it the most - and directly drives Alan's scaling, growth and profitability.
Applied AI at scale: You won't build demos. You'll ship AI agents that handle hundreds of thousands of real conversations per month in a regulated, high-stakes domain, where accuracy truly matters.
Frontier problems: Agentic workflows, tool use, evaluation, safety and guardrails, cost and latency trade-offs - you'll tackle the hardest open questions in production LLM systems.
Ownership & Growth: Influence product direction, mentor other engineers, and lead technical initiatives that shape the future of healthcare access.
🔍 What we're looking for
Technical Requirements:
5+ years building scalable software systems
Strong backend experience (Python is a plus)
Hands-on experience building products with LLMs (agents, tool calling, RAG, prompt engineering, evaluation) - ideally shipped to production
An evaluation mindset: you know how to measure whether an AI system is actually good, and how to make it better
What we value:
You love turning complex problems into elegant solutions
You care about the "why" behind what you build, not just the "how"
You stay on top of a fast-moving AI landscape and are pragmatic about what really works
Humble and still willing to grow (no matter your seniority)
Mission Alignment:
Healthcare technology excites you
You understand that insurance isn't just about money - it's about access to care
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.
⭐ The Engineering team ⭐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.
Our stack is React, Python/Flask, PostgreSQL in a monorepo. If you are not familiar with this stack but are a keen learner, it is totally fine. We deploy daily and believe in distributed ownership - you build it, you own it.
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 path.
To see all our opened Engineering positions, click here !
🌍 How we workLocation: 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.
Check here for more information about our everyday life!
🎯 Important note: we hire people, not roles.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 pages for more info.
You want to know more about Alan?
🙌 Perks & Benefits: Alaners are provided with a stimulating environment and perks ensuring they are happy, efficient and spend only high-quality time with co-workers.
🤘 A strong culture: People joining Alan are often surprised and delighted by our innovative working method. We have a set of cultural values that guide our approach to work
🔄 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.
How we rate this
Fullstack Software Engineer (x/f/m) -Automated Resolution at Alan rates 88 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.
Builds AI. The job is building AI systems.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Also common in software engineer jobs at this level
Pay
- Typical software engineer job
- $168k
This posting doesn't list pay. Use the typical software engineer figure when pay comes up. See software engineer jobs
Questions you could be asked
- How do you structure and test a prompt to get consistent output from a language model?
- How would you design a retrieval step so the model answers from real data instead of guessing?
- How do you decide when an AI agent can act on its own versus asking for approval first?
- How would you decide a model or AI system is ready to ship?
- Tell me about a time a model underperformed in production. How did you find out, and what did you change?
Adapt your resume
- List these exact terms on your resume: Prompt engineering, RAG, and AI agents. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.
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