Senior Software Engineer - Brand Safety & Agentic AI

Co będziesz robić

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.

Wymagania

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.

Co oferujemy

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.