Fullstack Software Engineer

il y a 1 jour


Les Ulis, France Alan Temps plein

Fullstack Software Engineer (x/f/m) - Ops AI Platform Join us at Alan to build a cutting‑edge AI platform that enables our Ops team to create, evolve, and monitor autonomous AI agents, automating thousands of repetitive operational tasks. About Alan Alan is a vertically integrated health partner that combines insurance and smart healthcare delivery into one system, serving over 1M users in more than 35K companies across France, Spain, Belgium and Canada. Our mission is to make prevention the new norm of care and to help people live in good health to 100 while turning health benefits into a valuable investment for employers. What You'll Work On You’ll work at the intersection of product engineering and ML engineering, building robust, safe, and scalable AI agents that integrate with internal tools and deliver real business value. Integrate agents into internal tools – build UIs where Ops can monitor AI agents, view reasoning, actions, and give follow‑up instructions. Empower non‑technical users – enable ops staff to create, test, replay, and evaluate agents with minimal technical skills. Build a comprehensive toolset – connect AI agents to internal data, external servers, and web dashboards. Safety & accuracy – robust testing, stateful evaluation, progressive rollout, and fine‑grained permissions. Responsibilities Work on frontier LLMs, tool calling, human‑in‑the‑loop, multi‑agent architectures and deploy features to production. Implement new capabilities and tooling that make Ops autonomous in agent creation, evolution and monitoring. Scale the system from a few dozen to tens of thousands of automated tasks per day. Influence system architecture and maintain high code quality. Mentor engineers, contribute to product & engineering culture, and help build the team (including hiring). Qualifications 3+ years of product‑engineer experience with a strong background in full‑stack software engineering and systems architecture. Experience with traditional ML, LLMs, or ML DevOps is a big plus. Product‑mindset: solutions should be usable and impactful. Self‑directed, pragmatic, humble, and eager to grow. Collaborative, enthusiastic about teamwork, learning, and teaching. Fluent in English (no French required). Perks & Benefits Fair rewards – generous equity packages complement base salary. Flexible office – HQ, co‑working hubs, or full‑remote with equipment sponsorship. All the tools you need – MacBook Pro, keyboard, monitor, headphones. Flexible vacation policy and working hours. Extensive health insurance (100% for you/children, 90–100% for partners). Commuter benefits as per country. Learning & training – free books, conference budget. Personal coaching from day one. Parental leave. We hire people, not roles. If you’re excited about this opportunity but don’t tick every box, we’d love to hear from you. Everyone, especially underrepresented groups, is encouraged to apply. Check out our About Alan, Career pages, Medium, blog, and Glassdoor page for more info. #J-18808-Ljbffr



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