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CreatorIQ is the operating system for creator-led growth, trusted by over 1,300 global brands and agencies. The company processes more than 250 million social posts daily across 15 million creators worldwide, providing a centralized intelligence layer for creator relationships, performance, governance, and commerce.
As a Senior Fullstack Engineer on the Platform Infrastructure team, you will lead the design and governance of agentic solutions, bridging innovative AI agents with production-grade software. You'll ensure the platform delivers safe, reliable, and intelligent automation for enterprise clients globally.
Key responsibilities include:
- Architect and govern agentic solutions by developing platforms that run AI agents, integrating them with CreatorIQ via APIs and custom MCP servers
- Implement safety and governance frameworks, designing guardrails to ensure agents are secure, reliable, and compliant for global enterprise use
- Build agent discovery systems and interfaces enabling users to discover, evaluate, and select appropriate AI agents for their workflows
- Develop scalable agentic-ready systems using React/TypeScript frontends and Node.js/Python backends
- Participate in client-facing technical discussions, feedback sessions, and real-user monitoring to demonstrate solutions and gather implementation feedback
- Advise on cloud infrastructure (AWS/GCP) and database strategies supporting long-term roadmap
CreatorIQ operates with flexible work combining in-person and remote work. The company has been named a Fastest-Growing Company in North America on the Deloitte Technology Fast 500 for four years, recognized as a Leader by Forrester in Influencer Marketing Solutions, and consistently rated a Leader by G2.
Requirements:
- 7+ years of professional software engineering experience, including full-stack applications and distributed systems
- 2+ years designing or deploying AI-powered applications using agent frameworks (Langchain, LangGraph, CrewAI, MS Semantic Kernel, OpenAI Agent SDK, or similar)
- Practical experience building and deploying AI agents at scale in production, including MCP server deployment; understanding of complexities and passion for implementing safety and governance guardrails
- Proficiency in Node.js and Python with strong background in building reliable APIs and integrating data connectors
- Strong experience with React and TypeScript for building intuitive UIs for AI agent interaction
- Solid grasp of cloud infrastructure and proficiency managing agent deployment environments
- The company notes that candidates with 50% of criteria who are excited and passionate about the opportunity are encouraged to apply
