Fullstack Software Engineer

Who you are

• 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
• 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
• 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

What the job involves

• 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 - 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
• 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)

Benefits

• Fair rewards: Generous equity packages complement your base salary, for permanent contracts only
• 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 Bose noise-cancelling headphones
• Flexible vacation policy and flexible working hours: Organise your time as you wish
• Delightful healthcare insurance: Extremely comprehensive health insurance - 100% of the contribution covered by Alan for you and your family, for permanent contracts only
• Transport: Country-specific commuter benefits
• Learning & Training opportunities: A highly flexible Training policy free books and a budget to attend and speak at conferences if the opportunity arises
• Parental leave: Extended parental leave for all new parents, for permanent contracts only