[Hiring] Fullstack Software Engineer @Alan

Role Description

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.

• We’re building ops agents that work reliably and safely, without putting the engineering team on the critical path.
• 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.
• Empower non-technical users to become autonomous in the creation and maintenance of agents to automate operational tasks at scale.
• Build a complete set of tools made available to AI agents, connecting to internal and external capabilities.
• 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.

Qualifications

• 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!).

Requirements

• 3+ years of experience in product engineering.
• Excited about building state-of-the-art AI systems and applying them to real-world, high-stakes problems in operations.
• Implement new capabilities for AI agents, as well as tooling to make ops autonomous on the creation, evolution, monitoring, and evaluation of their agents.
• Work on making our system scale, going from a few dozen to tens of thousands of tasks automated daily.
• Significant influence on system architecture and code quality.
• Mentor engineers, contribute to our product & engineering culture, and help build the team (including participating in hiring).

Benefits

• 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.
• All the tools you need: Top of the range equipment.
• Flexible vacation policy and flexible working hours.
• Delightful healthcare insurance: Extremely comprehensive health insurance - 100% for you and your children, 90-100% for partners depending on your country.
• Transport: Country-specific commuter benefits.
• Learning & Training opportunities: Highly flexible training policy, free books, and budget to attend and speak at conferences.
• Personal growth through coaching: Every Alaner is paired with a dedicated coach from day one.
• Extended parental leave for all new parents.