Senior Fullstack Engineer, Agentic Experience

🕒 il y a 1 mois

🇨🇦 Canada – Télétravail

💵 CA$132 000 - CA$165 000 / an

⏰ Temps Plein

🟠 Senior

🧑‍💻 Développeur Full-Stack

👻 Score fantôme 10%

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🗣️🇺🇸🇬🇧 Anglais requis

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CreatorIQ

201 - 500 employés

Fondée en 2014

📣 Marketing

📱 Médias

☁️ SaaS

Marketing • Media • SaaS

CreatorIQ est la plateforme de marketing d'influence la plus fiable pour les organisations cherchant à faire progresser leur marketing de créateurs. Sa technologie de pointe et son intelligence de premier plan dans l'industrie facilitent la découverte de créateurs à grande échelle, simplifient les flux de travail et offrent des rapports robustes, tout en garantissant la conformité et la sécurité de la marque. Des milliers des marques et agences les plus innovantes au monde utilisent CreatorIQ, y compris Disney, Logitech, Movers+Shakers, Nestlé, RQ, Sephora, Unilever et bien d'autres.

Description

• Architect and govern agentic solutions and platforms running AI agents • Integrate AI agents with CreatorIQ through APIs and custom MCP servers • Design and maintain safety, security, reliability, and compliance guardrails • Build systems and interfaces for users to discover, evaluate, and select AI agents • Develop frontend interfaces with React/TypeScript and backend services with Node.js/Python • Participate in client-facing technical discussions and feedback sessions • Process real-user monitoring results to demonstrate solutions and gather implementation feedback • Advise on cloud infrastructure and database strategies for the long-term roadmap

🎯 Exigences

• 7+ years of professional software engineering experience, including experience building full-stack applications and distributed systems • 2+ years designing or deploying AI-powered applications • Experience using one or more agent frameworks, including LangChain, LangGraph, CrewAI, Microsoft Semantic Kernel, or OpenAI Agent SDK • Practical experience building and deploying AI agents at scale and in production • Experience deploying MCP servers as enablement layers for agents in production • Understanding of safety and governance guardrails for AI agents • Proficiency in Node.js and Python • Strong background building reliable APIs and integrating data connectors • Strong experience with React and TypeScript • Solid grasp of cloud infrastructure and proficiency managing agent environments • Experience with AWS and/or GCP • Legally authorized to work in the country where the job is located

🏖️ Avantages

• Offers equity • Learning platform, training, and tools • 15 days of vacation • 12 paid holidays • 2 floating holidays • Wellness benefits • Paid parental leave • Comprehensive medical benefits with 100% employer-paid coverage for employees and eligible families • Life and disability benefits • Canada Pension Plan (CPP) with employer contributions • Work from home stipend • Flexible work model combining in-person and remote work

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