Senior Fullstack Engineer, Agentic Experience

CreatorIQ

. Architect and govern agentic solutions and platforms running AI agents .

Posted 9/17/2026full-timeRemote • California • United StatesSenior💰 $132,000 - $165,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in architecting and governing AI agent solutions, with a strong focus on integrating AI agents through APIs and ensuring compliance and security. Proficient in developing scalable applications using React, TypeScript, Node.js, and Python, while managing cloud infrastructure on AWS and GCP.

Highest-signal resume keywords

AI Agent FrameworksReact DevelopmentNode.js ProficiencyCloud Infrastructure ManagementAPI Development

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Software EngineeringFull-Stack ApplicationsDistributed SystemsAI-Powered ApplicationsMCP Server DeploymentAPI IntegrationReactTypeScriptNode.jsPython

Soft Skills

Client-Facing Technical DiscussionsFeedback Session Participation

Tools & Technologies

AWSGCPLangChainLangGraphCrewAIMS Semantic KernelOpenAI Agent SDK

Industry Keywords

AI AgentsGovernance GuardrailsSecurityReliabilityCompliance

Tech Stack

Tools & technologies

AWSCloudDistributed SystemsGoogle Cloud PlatformJavaScriptNode.jsPythonReactTypeScript

About the role

Key responsibilities & impact

Architect and govern agentic solutions and platforms running AI agents
Integrate AI agents with CreatorIQ through APIs and custom MCP servers
Design and maintain security, reliability, compliance, and governance guardrails
Build systems and interfaces for discovering, evaluating, and selecting AI agents
Develop scalable frontend interfaces using React/TypeScript
Develop 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
Support the long-term agentic platform roadmap

Requirements

What you’ll need

7+ years of professional software engineering experience, including full-stack applications and distributed systems
2+ years designing or deploying AI-powered applications
Experience with one or more agent frameworks: LangChain, LangGraph, CrewAI, MS Semantic Kernel, or OpenAI Agent SDK
Practical experience building and deploying AI agents at scale and in production
Experience deploying MCP servers in production
Knowledge of safety and governance guardrails for AI agents
Proficiency in Node.js and Python
Strong experience 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
Ability to participate in client-facing technical discussions and feedback sessions

Benefits

Comp & perks

15 days of vacation
Floating and company holidays
Wellness benefits
Paid parental leave
Comprehensive medical, dental, vision, life, and disability insurance
401(k) plan
Work-from-home stipend
Learning platform, training, and tools
Flexible work model combining in-person and remote work
Equity