Senior Fullstack Engineer, Agentic Experience

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CreatorIQ

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2014

📣 Marketing

📱 Media

☁️ SaaS

Marketing • Media • SaaS

CreatorIQ is a leading influencer marketing software platform that assists brands across various industries in growing, managing, scaling, and measuring their creator programs. It provides tools for discovering creators, executing campaigns, and optimizing performance with advanced analytics. CreatorIQ is designed to enhance brand engagement by leveraging the power of content and connections with trusted creators and communities. The platform is used by global enterprises, media and sports organizations, and direct-to-consumer brands to track, manage, and maximize their influencer marketing efforts.

📋 Description

• Lead the design and governance of Agentic Solutions • Develop platforms that run AI agents and integrate them with CreatorIQ through APIs, data connectors, and custom MCP servers • Design and maintain safety, security, reliability, and compliance guardrails for enterprise AI agents • Build systems and interfaces for users to discover, evaluate, and select AI agents for business workflows • Develop frontend interfaces using React/TypeScript and backend services using 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 AWS/GCP cloud infrastructure and database strategies • Work across the stack on the Platform Infrastructure team to connect agents to CreatorIQ’s ecosystem

🎯 Requirements

• 7+ years of professional software engineering experience • Experience building full-stack applications and distributed systems • 2+ years designing or deploying AI-powered applications • Experience with one or more agent frameworks, such as 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 production agents • 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 understanding of cloud infrastructure and proficiency managing agent environments • Experience or knowledge with AWS/GCP and database strategies

🏖️ Benefits

• 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 • Learning platform, training, and tools • Canada Pension Plan (CPP) with employer contributions • Work from home stipend • Equity