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

Alan

España

On-site

PHP 5,643,000 - 9,404,000

Full time

20 hours ago
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Benefits offered by this job

Fair rewards
Flexible Office

Job summary

Alan is hiring Product engineers for the Ops AI Platform to build a scalable, safe, and autonomous AI agent ecosystem. You’ll work at the intersection of product engineering and ML, shaping architecture and delivering a robust platform that enables operations teams to automate tasks at scale.

You will engage with LLMs, tool-calling, and human-in-the-loop workflows, influence system design, and mentor peers as the team grows.

Qualifications

  • 3+ years of experience as Product Engineer or similar role.
  • Experience with state-of-the-art AI systems and multi-agent architectures.
  • Strong backend and systems architecture focus.
  • Fluent in English and able to work across teams.

Responsibilities

  • Build and evolve the Ops AI Platform, enabling autonomous AI agents to automate thousands of tasks.
  • Shape architecture, product direction and code quality for scale and safety.
  • Mentor engineers, contribute to hiring, and grow the team.

Skills

Full-stack software engineering
Systems architecture
Backend engineering
ML/LLMs/ML Ops
Product-minded
Self-directed
Collaborative
English fluency

Job 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. 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 800+ people. If it speaks to you: we're hiring across France, Spain, Belgium, and Canada. And beyond.

How we do it?

People joining Alan are always surprised and delighted by our innovative working method. We have a set of cultural values that guide our approach to work, such as:

What drives us - We're obsessed with helping members live healthier
  • 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 - We hire the best and empower them to succeed
  • 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 - We improve through honest feedback and bold thinking
  • 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 — We fight complexity and focus on what matters
  • 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.

That's what we're building. The Ops AI Platform will let our Ops team create, evolve, and monitor their own AI agents to automate thousands of tedious tasks. We aim to crack problems no one has solved at this scale.

The project just launched. You'd join at ground zero - shaping the architecture, the product, the entire foundation.

If building the future of work from scratch excites you, this is it.

Our north star

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

Skills

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. Things we’re working on:

  • Integrate agents at the heart of internal tools - UIs where Ops monitor and take action on concrete business situations. We want AI agents to become first-class citizens in this ecosystem, with 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 to 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.

If you’re excited by the idea of building the future of work, this is the team for you - we're at the start of the journey.

Is it you 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’ll 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
  • You’ll implement new capabilities for AI agents, as well as tooling to make ops autonomous on the creation, evolution, monitoring and evaluation of their agents
  • You’ll work on making our system scale, going from a few dozen to tens of thousands of tasks automated daily
  • You’ll have significant influence on system architecture and code quality
  • You’ll mentor engineers, contribute to our product & engineering culture, and help build the team (including participating in hiring).
You would be a good fit at Alan 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 dev ops 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!)

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.

For this opportunity, we are aiming to hire within the D-F level range.

Perks & Benefits

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
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