
Fullstack Software Engineer - Work Environment (x/f/m)
Alan ยท Greater Paris Metropolitan Region
- On site
- Contract
- $120,000 / year
- Greater Paris Metropolitan Region
Job highlights
- Build AI-powered internal platform daily.
- Design intelligent agents, automate workflows.
- Push LLMs into production.
- Define AI-native work patterns.
- Shape daily experience of every Alaner.
About the role
About Alan
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 monetization opportunities.
We partner with tens of thousands of companies across France ๐ซ๐ท, Spain ๐ช๐ธ, Belgium ๐ง๐ช, and Canada ๐จ๐ฆ, serving over a million members.
How we work: our Leadership Principles
- Mission is the Boss โ We think long-term and are methodical optimists who take risks, seeking our mission's success above all else.
- Distributed Ownership โ Accountable enlightened despots: everyone owns their decisions and results.
- Radical Transparency โ All information is accessible and written-first, so everyone can make the best decisions asynchronously.
- Always Growing โ Direct, positive, and caring feedback, combined with self-growth ownership.
Build the AI-native company, for real
Alan has spent 10 years developing a distinctive way of working: radical transparency, written culture, distributed decision-making, no managers, no meetings by default. This wasn't just philosophy. It was a deliberate architectural choice, and it made Alan one of the most productive companies in European tech.
Now, agentic AI empowers us to make it much more personalized. The principles that made Alan productive become the foundation for a much more ambitious journey: a company where AI agents handle organizational complexity, surface the right context instantly, and let every person focus on the work that matters.
As a Software Engineer on this team, you will:
- Build the AI-powered internal platform that every Alaner uses daily to navigate the company, find context, and take action.
- Design and ship intelligent agents that automate real organizational workflows: onboarding, knowledge retrieval, performance alignment, decision support.
- Push LLMs into production for structured reasoning, agentic task execution, and deep integration with internal tools.
- Define the primitives and abstractions of AI-native work, the patterns that scale across every team and every country Alan operates in.
- Replace generic tools (HRIS, performance reviews, IAM) with opinionated, Alan-native software that compounds with our culture.
- Build and scale our Identity & Access Management (IAM), Privileged Access Management (PAM), and user lifecycle across 25+ systems.
- Collaborate with product, design, security and leadership to turn Alan's cultural principles into software that amplifies them.
Why this role is special
- Alan's written, transparent, async culture generates an extraordinary volume of structured organizational knowledge. Most companies can't feed AI agents with high-quality internal data. Alan already can.
- The team is building a full AI-native operational layer from scratch, not adding copilots to legacy tools.
- Every Alaner uses what you ship, every day. The feedback loop between building and impact is immediate.
- The work sits at the frontier of applied AI: agents, retrieval-augmented generation, structured outputs, tool use, human-in-the-loop design.
- The ambition goes beyond Alan. The patterns you build here could define how high-performance companies operate in the AI era.
Your playground
- Stack: Python/Flask, React, PostgreSQL, plus deep integration with LLM APIs and internal AI infrastructure.
- What you'll do: design and ship AI-native tools that power how Alan works. automated workflows, organizational navigation, agentic assistants.
- Impact: your work shapes the daily experience of every Alaner and builds the playbook for the AI-native company.
Who we're looking for
- Software engineers of all experience levels, ideally with backend or full-stack experience.
- Genuinely excited about AI and eager to explore what LLMs, agents, and retrieval systems can do inside a real product.
- Comfortable building in fast-moving territory where the right abstractions don't exist yet.
- Well-versed in OOP languages (Python, Java, C#) and modern web technologies.
- Fluent in English (French is a plus but not required).
- Curious, self-starting, humble, collaborative, and eager to grow.
Perks & benefits
- Fair rewards & equity packages.
- Flexible office & remote options.
- Top-tier equipment: MacBook Pro, monitor, noise-canceling headphones.
- Flexible vacation & hours.
- Comprehensive healthcare for you, children, and partners.
- Transport support and coaching for personal growth.
- Training budget for conferences, courses, books.
- Extended parental leave for all parents.
Recruitment note
๐ We hire people, not roles. Don't worry if you don't check every box. High potential and curiosity matter most. We may even suggest another team if we see a better fit.
๐ Learn more About Alan and on our Career pages, Medium, blog and Glassdoor page.
Key skills/competency
- Software Engineer
- AI Platform Development
- Backend Development
- Full-stack Development
- Python/Flask
- React
- PostgreSQL
- LLM Integration
- Agentic AI
- Organizational Workflows
Skills & topics
- Software Engineer
- AI
- Platform Engineering
- Backend Development
- Full-stack Development
- Python
- React
- LLM
- Agentic AI
- Startup
How to get hired
- Tailor your resume: Highlight AI, Python, React, and full-stack skills relevant to Alan's AI-native mission.
- Showcase AI passion: Demonstrate curiosity and experience with LLMs, agents, and retrieval systems in your application.
- Emphasize collaboration: Detail your experience working in transparent, async, and distributed ownership environments.
- Prepare for technical interviews: Be ready to discuss OOP languages, web technologies, and AI concepts with practical examples.
- Understand Alan's culture: Research their leadership principles and AI-native approach to align your answers.
Technical preparation
Behavioral questions
Frequently asked questions
- What are the key technologies used by the AI Platform team at Alan for the Software Engineer role?
- The Software Engineer role on the AI Platform team at Alan will primarily work with Python/Flask for the backend, React for the frontend, and PostgreSQL for the database. A significant focus will also be on deep integration with LLM APIs and Alan's internal AI infrastructure.
- Is this Software Engineer position remote or on-site at Alan?
- Alan offers flexible office and remote options for its employees. While the specific work arrangement for this Software Engineer role isn't explicitly stated as fully remote or on-site, the company culture supports flexibility, and candidates are encouraged to inquire further during the application process.
- What is the expected experience level for the Software Engineer AI Platform role at Alan?
- Alan is open to hiring software engineers of all experience levels for this role. They emphasize potential and curiosity, particularly for those excited about AI and building in fast-moving territories, rather than strictly adhering to a precise years-of-experience requirement.
- How does Alan's unique culture impact the work of a Software Engineer on the AI Platform team?
- Alan's culture of radical transparency, written-first communication, distributed ownership, and no default meetings directly influences the AI Platform team's work. Engineers will build AI-native tools that leverage this existing structured organizational knowledge and amplify these cultural principles, impacting every Alaner daily.
- What are the primary responsibilities of a Software Engineer at Alan focused on the AI-native company vision?
- As a Software Engineer at Alan, your primary responsibilities will include building the AI-powered internal platform, designing and shipping intelligent agents for workflow automation, pushing LLMs into production for structured reasoning, defining AI-native work patterns, and replacing generic tools with Alan-native software.
- Does Alan require French language proficiency for the Software Engineer position?
- While fluency in English is required for the Software Engineer position at Alan, French is considered a plus but not a mandatory requirement. The company operates in multiple countries including France, but the primary working language for this role is English.
- What kind of impact can a Software Engineer have on the AI Platform team at Alan?
- The impact of a Software Engineer on the AI Platform team at Alan is significant. Your work will shape the daily experience of every Alaner, build the playbook for the AI-native company, and potentially define how high-performance companies operate in the AI era.