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About CreatorIQ

CreatorIQ is the operating system for creator-led growth trusted by more than 1,300 global brands and agencies. We’re on a mission to make businesses more human, and humans more impactful. We operate by our values — be intentional, pursue excellence every day, embrace the journey together, and be a good human. CreatorIQ has earned the title of best companies to work for in multiple programs, including BuiltIn LA and NY. It’s been named a Fastest-Growing Company in North America on the Deloitte Technology Fast 500™ for four years, was named a leader in IDC MarketScape: Worldwide Influencer Marketing Platforms for Large Enterprises in 2025, and was named a Leader by The Forrester New Wave™: Influencer Marketing Solutions.

Role Overview

We are looking for a Senior Software Engineer — Brand Safety & Agentic AI to join our Safety & Compliance team and help build and evolve CreatorIQ’s AI-driven brand safety platform. This is a backend-focused role responsible for developing scalable services, APIs, and data-processing capabilities that power brand safety workflows across large volumes of creator and social content. SafeIQ helps brands identify potential risks, assess suitability, and make better-informed brand safety decisions. You will work with event-driven and serverless architectures on AWS, large-scale data pipelines, transactional databases, AI/ML processing systems, AI agents, and agent-ready APIs.

Responsibilities

  • Design, build, and operate scalable backend services and APIs that power CreatorIQ’s Brand Safety and Safety & Compliance capabilities.
  • Build and evolve event-driven and serverless systems using Node.js, TypeScript, AWS Lambda, SQS, EventBridge, S3, and related AWS services.
  • Design and operate large-scale data pipelines that ingest, process, validate, and persist creator and social content across multiple systems.
  • Build reliable backend workflows that integrate AI/ML and multimodal inference into customer-facing Brand Safety experiences.
  • Design agent-ready APIs and tools that expose Brand Safety capabilities to AI agents through clear contracts, permissions, validation, idempotency, and predictable error handling.
  • Improve data models, queries, transactional workflows, and performance across relational databases including AWS Aurora PostgreSQL and AWS RDS SQL Server.
  • Improve observability, monitoring, alerting, performance, scalability, and production reliability.
  • Collaborate closely with Product, Data Science, ML, QA, DevOps, and engineering teams.
  • Contribute to technical design and architectural decisions, review code, mentor engineers, and help establish engineering best practices.

What we offer

  • People: work with talented, collaborative, and friendly people who love what they do.
  • Guidance: utilize our learning platform to fully get the training and tools you’ll need to become successful here from your first day with us.
  • Surprise meal stipends: work from home can’t stop the enjoyment of someone else making a meal for you!
  • Work/life harmony: 26 days vacation, floating and set holidays, wellness allowance, and paid parental leave.
  • Medical insurance, life insurance, and business travel insurance.
  • Stock options as part of our equity-sharing program.
  • Comprehensive perks program providing stipends for cell phone and internet, home office setup, mental wellness, professional development and tuition reimbursement, plus occasional company-funded meal opportunities throughout the year.

Requirements

  • 5+ years of professional software development experience, including ownership of complex production systems.
  • Strong backend engineering experience with Node.js and TypeScript, including designing and building REST and/or GraphQL APIs, third-party integrations, and asynchronous processing workflows.
  • Experience building serverless and event-driven systems on AWS, using services such as Lambda, SQS, EventBridge, S3, and API Gateway.
  • Strong knowledge of relational databases, data modeling, transactions, and query optimization, ideally with PostgreSQL and/or SQL Server.
  • Experience building distributed or data-intensive systems that reliably process large volumes of data.
  • Experience designing APIs or tools for machine-to-machine or AI-agent use, including structured contracts, permissions, validation, idempotency, and predictable error handling, along with familiarity with AI agents, tool calling, MCP, A2A, or similar agent interoperability patterns.
  • Strong understanding of authentication, authorization, secrets management, rate limiting, retries, failure recovery, and secure API design.
  • Strong understanding of automated testing, CI/CD, observability, monitoring, and production operations.
  • Strong problem-solving and troubleshooting skills, with the ability to independently own features and services from technical discovery and design through production rollout.
  • Strong communication skills and the ability to collaborate effectively across Engineering, Product, Data Science, ML, QA, and DevOps, with Upper-Intermediate or higher English proficiency, both written and spoken.

Nice to have

  • Experience working with AI/ML-powered systems or LLM-based applications.
  • Experience building AI agents or agent-ready APIs, with familiarity with MCP, A2A, tool calling, structured schemas, and agent frameworks such as LangGraph, CrewAI, or Strands Agents.
  • Experience with Python for backend development, data processing, automation, or AI/ML integrations.
  • Experience with data-intensive systems and technologies such as Redshift, Parquet, ETL/data pipelines, batch processing, or cross-cloud data flows.
  • Experience with GCP or building integrations and data flows across AWS and GCP.
  • Full-stack development experience with React and TypeScript.
  • Experience with large-scale content or media processing, social platform integrations, content moderation, Trust & Safety, or Brand Safety systems.
CreatorIQ

CreatorIQ

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