# Fullstack Software Engineer (x/f/m) - Agentic Platform
**Company:** [Alan](https://scaleengineer.com/companies/alan)
Join Alan's Agentic Platform team as a Fullstack Software Engineer to build AI-powered infrastructure and tools that enable agents to operate safely and efficiently at scale. This role combines platform engineering with product ownership, requiring deep expertise in backend fundamentals, distributed systems, or AI/ML infrastructure. You'll architect and maintain systems that power Alan's vision of democratizing agent development across the organization, working on challenges including durable session management, sandboxed execution environments, security and authorization frameworks, and evaluation pipelines for AI systems.
**Role:** Full Stack Engineer
**Seniority:** Mid
**Locations:** Anywhere in France, Belgium, Spain
**Salary:** 65000–95000 EUR
[Apply](https://jobs.ashbyhq.com/alan/3b78382c-b243-46c1-a22e-a67850b21821)
Canonical: https://scaleengineer.com/jobs/alan/fullstack-software-engineer-x-f-m-agentic-platform
---
## Responsibilities

- End-to-End Architecture & Development: Own specific technical problems within the Agentic Platform from initial design through production deployment. Take significant influence over architectural decisions, code quality standards, and system design patterns. Lead design reviews and technical discussions that shape how agents are built and executed.
- Production System Reliability & Cost Optimization: Maintain responsibility for reliability, performance, and cost of systems in production. Monitor key metrics, identify bottlenecks, optimize resource utilization, and implement cost-saving measures. Participate in on-call rotation and respond to incidents affecting agent execution or evaluation.
- User-Centric Development: Work directly with internal stakeholders including Alaners using Hopper, product teams building agent-powered features, and operations teams running autonomous agents. Gather feedback on developer and user experience, validate assumptions, and iterate based on real-world usage patterns.
- Security, Privacy & Compliance Implementation: Ensure systems handle sensitive healthcare data securely and compliantly. Implement fine-grained permission models, audit trails, and data isolation mechanisms. Stay current with healthcare compliance requirements (GDPR, data residency) and integrate security considerations into all architectural decisions.
- Team Building & Mentorship: Mentor junior and mid-level engineers on the team. Contribute to hiring, technical documentation, and engineering culture. Share knowledge through code reviews, technical talks, and documentation. Help establish best practices for agent development and platform usage.
- Distributed System Problem Solving: Design and implement solutions for challenges unique to running agents at scale: durable sessions that survive deployments, sandboxed execution environments with negligible overhead, multi-agent workflows with streaming, and evaluation frameworks that work with production data.

## Requirements

### education

- {"name":"Computer Science or Related Field","description":"Bachelor's degree in Computer Science, Software Engineering, or equivalent professional experience demonstrating strong fundamentals in computer science principles."}

### technical

- {"name":"Backend System Design","description":"Ability to design scalable, resilient backend systems with clear separation of concerns. Experience architecting systems that serve multiple consumers and handle concurrent operations."}
- {"name":"Production Operations","description":"Demonstrated ability to own systems in production, including reliability, performance optimization, cost management, and security. Experience with monitoring, alerting, and incident response."}
- {"name":"Async Programming","description":"Deep understanding of asynchronous programming patterns, concurrency, and event-driven architectures. Comfort with async/await patterns and understanding their performance implications."}
- {"name":"Secure System Design","description":"Ability to design systems with security as a first-class concern. Experience implementing authentication, authorization, permission models, and secure data handling practices."}
- {"name":"API Design & Integration","description":"Skill in designing clean, intuitive APIs and integrating external services. Experience with REST principles, error handling, and API versioning strategies."}

### experience

- {"name":"3+ Years Software Engineering","description":"Minimum three years of professional software engineering experience with solid backend fundamentals. Experience building production systems used by internal teams or customers."}
- {"name":"Platform or Product Development","description":"Proven experience building platforms, infrastructure, or products used by other engineers or teams. Demonstrated ability to balance developer experience with technical requirements."}
- {"name":"Specialized Domain Depth","description":"Deep expertise in at least one specialized area: distributed systems and runtime environments, evaluation and data quality systems, security and authorization frameworks, or product user experience design."}
- {"name":"Cross-functional Collaboration","description":"Experience working closely with product teams, users, and stakeholders to understand requirements and validate solutions. Demonstrated ability to communicate technical concepts to non-technical audiences."}

## Skills

### required

- {"name":"Backend Development","description":"Strong fundamentals in server-side architecture, API design, and backend systems. Experience building scalable services that handle high throughput and complex business logic."}
- {"name":"Python Programming","description":"Proficiency in Python for backend service development, particularly with async frameworks and modern architectural patterns. Experience with FastAPI, SQLAlchemy, or similar async frameworks is valuable."}
- {"name":"Distributed Systems","description":"Understanding of distributed system principles including concurrency, fault tolerance, state management, and orchestration. Experience with workflow engines or durable execution frameworks like Temporal is a significant advantage."}
- {"name":"Database Design & SQL","description":"Solid experience with relational databases, query optimization, data modeling, and working with PostgreSQL. Understanding of async database patterns and connection pooling."}
- {"name":"Cloud Infrastructure","description":"Practical experience with cloud platforms, primarily AWS. Familiarity with infrastructure-as-code tools like Terraform and containerized deployments."}
- {"name":"Security & Authorization","description":"Understanding of authentication mechanisms, authorization patterns, permission systems, and secure data handling. Experience implementing identity and access control in distributed environments."}
- {"name":"React & Frontend Fundamentals","description":"Working knowledge of React with modern tooling (Vite). Ability to collaborate effectively with frontend teams and build full-stack features from API to UI."}

### preferred

- {"name":"LLM APIs & Agent Frameworks","description":"Hands-on experience integrating large language models into applications, working with model providers, implementing retry logic, and handling streaming responses. Familiarity with agent orchestration frameworks."}
- {"name":"Model Context Protocol (MCP)","description":"Experience with or knowledge of MCP for standardized tool integration and API gateway patterns that connect agents to external services and internal tools."}
- {"name":"Evaluation Frameworks & ML Observability","description":"Experience designing evaluation pipelines, implementing metric tracking for ML systems, or building observability solutions for data-intensive workloads. Knowledge of experiment tracking and result comparison."}
- {"name":"Sandbox & Containerization Technology","description":"Experience with container orchestration, isolation techniques, or building sandbox environments. Knowledge of solutions like Daytona or similar containerized execution platforms."}
- {"name":"Workflow Orchestration (Temporal/Similar)","description":"Experience with Temporal, Apache Airflow, or comparable workflow engines that handle durable, long-running processes with state management and failure recovery."}
- {"name":"Healthcare IT & Compliance","description":"Understanding of healthcare industry regulations, HIPAA compliance, GDPR, and privacy-first system design. Experience handling sensitive or regulated data."}
- {"name":"MLOps & ML Infrastructure","description":"Background in machine learning operations, model serving, or ML infrastructure. Experience with ML deployment pipelines, A/B testing frameworks, or feature stores."}
- {"name":"DevOps & Reliability","description":"Experience with CI/CD pipelines, monitoring, alerting, and incident response. Understanding of observability best practices and building reliable, maintainable systems."}

## Tech stack

### tools

- {"name":"Terraform","description":"Infrastructure-as-code tool for provisioning and managing AWS resources."}
- {"name":"AWS","description":"Cloud infrastructure provider hosting Alan's applications and services."}
- {"name":"Temporal","description":"Durable execution platform enabling long-running workflows and agent sessions that survive deployments."}
- {"name":"Vite","description":"Modern build tool and dev server for fast React application development."}
- {"name":"Docker","description":"Containerization for consistent deployment and isolated execution environments."}
- {"name":"Daytona","description":"Sandbox infrastructure for isolated agent and evaluation execution with minimal boot overhead."}

### others

- {"name":"PydanticAI","description":"Python library for building AI agent applications with type safety and validation."}
- {"name":"Model Context Protocol (MCP)","description":"Standard protocol for agents to access tools and services with unified identity and permission management."}
- {"name":"LLM Providers","description":"Integration with multiple large language model providers including routing, failover, and cost tracking."}

### databases

- {"name":"PostgreSQL","description":"Primary relational database for application data, used with async SQLAlchemy patterns."}

### languages

- {"name":"Python","description":"Primary backend language for service development and AI system integration."}
- {"name":"JavaScript/TypeScript","description":"Frontend development and full-stack tooling."}
- {"name":"SQL","description":"Database queries, optimization, and schema design."}

### frameworks

- {"name":"FastAPI","description":"Modern async Python web framework for building high-performance APIs with automatic validation and documentation."}
- {"name":"Flask","description":"Lightweight Python framework powering Alan's main backend monolith."}
- {"name":"React","description":"Frontend library for building user interfaces in Alan's web applications and agent tools."}
- {"name":"SQLAlchemy","description":"Python ORM with async support for database abstraction and query building."}

## Benefits

### benefits

- {"name":"Comprehensive Health Insurance","description":"Extremely comprehensive health coverage at 100% for employee and children, 90-100% for partners depending on country (permanent contracts only). Reflects Alan's commitment to employee wellness and preventative care philosophy."}
- {"name":"Generous Equity Package","description":"Significant equity compensation complementing base salary, aligning your success with company growth and providing long-term value participation."}
- {"name":"Flexible Work Arrangements","description":"Choose between amazing office space at Paris HQ, sponsored co-working hubs, or full remote work with home office equipment sponsorship. Flexible vacation policy and flexible working hours to organize your time as needed."}
- {"name":"Premium Equipment & Setup","description":"Top-of-the-range equipment provided including MacBook Pro, external keyboard, laptop stand, monitor, and noise-canceling headphones to optimize productivity and comfort."}
- {"name":"Professional Development & Learning","description":"Highly flexible training budget, free books, and support to attend and speak at conferences. Access to learning opportunities to stay current with evolving technology landscape."}
- {"name":"Personal Growth Through Coaching","description":"Every Alaner is paired with a dedicated coach from day one who helps maximize impact, nurture engagement, and develop full potential through Alan's coaching-centered culture."}
- {"name":"Parental Leave","description":"Extended parental leave benefits for all new parents, supporting work-life balance during important life transitions."}
- {"name":"Country-Specific Commuter Benefits","description":"Transportation and commuter benefits tailored to your location (France, Belgium, or Spain), supporting sustainable and convenient commuting."}

## Compensation

- **max:** 95000
- **min:** 65000
- **currency:** EUR
- **stockOptions:** true

## Interview process

### steps

- {"name":"Application & Resume Review","description":"Submit application through Ashby platform with resume and cover letter highlighting relevant experience with backend systems, distributed systems, or AI/ML infrastructure. Alan values high potential and curiosity; ensure your application demonstrates genuine enthusiasm for the Agentic Platform mission."}
- {"name":"Screening Call","description":"Initial conversation with recruiter to understand your background, motivation for the role, and alignment with Alan's engineering culture. Discuss your experience with relevant technical domains and what excites you about building agent infrastructure."}
- {"name":"Technical Design Discussion","description":"Deep technical conversation with engineers from the Agentic Platform team. Expect to discuss system design challenges, architectural tradeoffs, and your approach to solving complex distributed systems problems. May include whiteboarding or discussion of past projects."}
- {"name":"Architecture & Problem-Solving Round","description":"More detailed technical evaluation focusing on your ability to think through complex infrastructure problems. Could involve discussing how you would approach building specific components like durable session management, sandbox coordination, or security policies."}
- {"name":"Engineering Culture & Team Fit","description":"Conversation focused on your collaboration style, how you approach mentorship, and values alignment with Alan's engineering culture. Discussion of your perspective on balancing speed, reliability, cost, and security in system design."}
- {"name":"Offer Discussion & Negotiation","description":"If successful, compensation discussion including base salary, equity package, benefits, and location flexibility. Alan is transparent about compensation and committed to fair rewards aligned with experience and market rates."}

## Full description
## **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**](https://alan.com/en/careers). 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.

# **⭐ 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.

Want to know more? Read [this article](https://blog.alan.com/tech-et-produit/engineering-organisation-at-alan) if you want to discover how life as an Engineer at Alan and [this article](https://medium.com/alan/engineering-career-path-at-alan-e5de5c2e740c) on our Engineering career pat

# **🛠️ The stack**

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.

# **🤖 The Agentic Platform area**

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](https://www.youtube.com/watch?v=hAu7Ngfd0ys)).
* **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 ([read how](https://medium.com/alan/how-we-bootstrapped-an-ai-agents-platform-for-operations-at-alan-fefd87ed6314), [watch the talk](https://www.youtube.com/watch?v=%5Fpg1ij8k5Rw)).

# **🧩 Problems you'll only find here**

**Run agents at scale**

* 🧠 **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.

**Make agents trustworthy and proactive**

* 🔌 **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.

**Put agents in everyone's hands**

* 📚 **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.

# 

# **⭐ Is it you we’re looking for?**

**What you'll do**

* 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

**Experience we value**

* 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

**Mindset we value**

* 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).

# **🌍 How we work**

* 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.

# 🙌 [Perks & Benefits](https://alan.com/en/careers/a/salary-equity)

At Alan, we believe that **being in good health is a basic need,** and it starts with our employees. This is why Alaners are provided with a stimulating environment and perks ensuring they are **happy, efficient and spend only high-quality time** with co-workers.

**Therefore, we offer:**

* **Fair rewards**. Generous equity packages complement your base salary.
* **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 noise-canceling headphones.
* **Flexible vacation policy and flexible working hours**. Organize your time as you wish.
* **Delightful healthcare insurance:** Extremely comprehensive health insurance - 100% for you and your children, 90-100% for partners depending on your country _(permanent contracts only)_.
* **Transport**. Country-specific commuter benefits.
* **Learning & Training opportunities.** A highly flexible Training policy free books and budget to attend and speak at conferences if the opportunity arises.
* **Personal growth through coaching**: At Alan, coaching isn't just a perk -it's core to who we are. Every Alaner is paired with a dedicated coach from day one, who helps maximize their impact, nurture engagement, and navigate Alan's values to develop their full potential.[**Learn more about our coaching culture**](https://alan.com/en/blog/discover-alan/a/alan-culture-excellence-through-coaching)**.**
* **Parental leave.** Extended parental leave for all new parents.

## **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](https://alan.com/about) and [Career](https://alan.com/careers) pages, as well as our [Medium](https://medium.com/alan), [blog](https://blog.alan.com/) and [Glassdoor page](https://www.glassdoor.com/Overview/Working-at-Alan-EI%5FIE1696043.11,15.htm) 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_](https://www.notion.so/alaninsurance/Software-Engineering-Areas-Alan-2c61426e8be7805bacd2cdbc08c32640?source=copy%5Flink)_._