FULLSTACK AI DEVELOPER

LCI Education•Montreal, QC

52d•Remote

About The Position

As a Fullstack AI Developer, you will design, build, and ship software solutions by leveraging advanced agentic coding workflows. You will join a team that already operates a custom multi-agent Claude Code setup in production. Your role will involve contributing to the evolution of this infrastructure and helping to define the next generation of Fullstack AI Developer at LCI Education.

Requirements

Diploma in computer science, software engineering, or a related field, or equivalent demonstrated experience;
Minimum 5 à 7 ans d'expérience pratique en développement logiciel dans un environnement web moderne;
2 years d'expérience concrète dans l'écosystème du développement Fullstack IA workflows agentiques et maîtrise d'outils modernes tels que Claude Code, Cursor, Lovable, Supabase ou similaires les profils justifiant d'au moins 1 an d'expérience combinée seront également considérés;
Solid proficiency in TypeScript / JavaScript in a modern web stack;
Familiarity with composable / MACH architecture (headless CMS, API-first, microservices) and modern deployment platforms (Vercel, Next.js);
Proficiency in French language (spoken and written);
Professional proficiency in English language (spoken and written).

Responsibilities

Develop and ship software features using agentic coding workflows (code generation from specs, multi-step task execution, and autonomous problem-solving);
Design and configure multi-agent workflows tailored to the needs of the LCI digital platform;
Contribute to the evolution of the existing production-grade multi-agent Claude Code setup (specialized agents, skills, hooks);
Apply advanced prompt engineering practices in the context of software development (system prompts, structured outputs, iterative refinement);
Architect, build, and deploy solutions on a modern composable platform (MACH) powered by Uniform, Vercel, Coveo, Segment, and Dynamics 365;
Participate in spec-driven development, turning structured requirements into working code through AI agents;
Collaborate with internal teams to identify opportunities for AI integration in development processes;
Share best practices and contribute to the evolution of AI culture within the team.