Senior Software Engineer - Brand Safety & Agentic AI

SafeIQ helps brands identify potential risks, assess suitability, and make better-informed brand safety decisions. The system supports historical analysis, pre-campaign evaluation, and ongoing monitoring while keeping humans in control of final review and decision-making.

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. The ideal candidate is a strong backend engineer with experience building distributed, data-intensive systems. Full-stack experience is a strong plus.

In this role, you’ll get to:

* 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, with robust asynchronous workflows that handle retries, failures, duplicate processing, concurrency, throughput, and data consistency.

* 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, and build and operate AI agents as services that integrate with other agents and systems through A2A, MCP, and similar interoperability patterns.

* Improve data models, queries, transactional workflows, and performance across relational databases including AWS Aurora PostgreSQL and AWS RDS SQL Server, and integrate with external APIs, social platforms, cloud services, and data-processing systems across AWS and GCP.

* Improve observability, monitoring, alerting, performance, scalability, and production reliability across Brand Safety services and data pipelines.

* Collaborate closely with Product, Data Science, ML, QA, DevOps, and engineering teams to turn product and AI capabilities into reliable production systems.

* Contribute to technical design and architectural decisions, review code, mentor engineers, and help establish engineering best practices, using AI-assisted development tools to improve development velocity, code quality, testing, and engineering workflows.

Who you are and what you’ll need for this position:

* 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, and to make pragmatic architectural decisions that balance scalability, reliability, maintainability, and delivery speed.

* 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, including production use of model or inference outputs.

* 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.

Confidence can sometimes hold us back from applying for a job. But there's no such thing as a 'perfect' candidate. Have 50% of the criteria? Excited about this opportunity? Interested about what we do at CreatorIQ? Please apply!

What you will get from us:

* 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.

Compensation, benefits, and beyond:

We know that benefits play a significant role in your overall compensation. We invite you to review our benefits and perks.

Who we are:

CreatorIQ is enterprise infrastructure for creator marketing, trusted by more than 1,300 of the world's leading brands and agencies, including Beiersdorf, Delta Air Lines, Dentsu, Google, Nestlé, and Wella. Powered by the Creator Graph®, CreatorIQ's proprietary AI and intelligence foundation grounded in over 11 years of data, it’s built for teams, agents, and the entire enterprise tech stack. With headquarters in Los Angeles and offices in Austin, London, Manila, New York, San Francisco, and Warsaw, CreatorIQ’s global team moves quickly and deliberately because we're setting the pace for an industry that's still being defined.

Learn more at www.creatoriq.com and follow us on LinkedIn and Instagram.

At CreatorIQ, different perspectives make our work better. The people we hire come from different backgrounds and think in different ways — and that's exactly what helps us connect with each other, and with the customers and creators we serve.We are committed to fostering an inclusive, equitable, and empowering work environment where everyone can thrive, regardless of race, ethnicity, gender, sexual orientation, age, religion, disability, or any other characteristic that makes us unique. By embracing our core values of being intentional, pursuing excellence every day, embracing the journey together, and being a good human, we create an atmosphere that promotes collaboration and growth. Join us to celebrate differences, innovate together, and be a part of a business that is disrupting the marketing industry.

AI Transparency Notice

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications and note taking during interviews. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please refer to our Global Candidate Privacy Notice.