Senior Software Engineer – Brand Safety, Agentic AI

• Design, build, and operate scalable backend services and APIs powering 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
• Develop robust asynchronous workflows handling retries, failures, duplicate processing, concurrency, throughput, and data consistency
• Design and operate large-scale data pipelines ingesting, processing, validating, and persisting creator and social content
• Build backend workflows integrating AI/ML and multimodal inference into customer-facing Brand Safety experiences
• Design agent-ready APIs and tools exposing Brand Safety capabilities to AI agents
• Build and operate AI agents as services integrating with other agents and systems through A2A, MCP, and similar patterns
• Improve data models, queries, transactional workflows, and performance across AWS Aurora PostgreSQL and AWS RDS SQL Server
• 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
• Collaborate with Product, Data Science, ML, QA, DevOps, and engineering teams
• Contribute to technical design and architectural decisions, review code, mentor engineers, and establish engineering best practices

• 5+ years of professional software development experience, including ownership of complex production systems
• Strong backend engineering experience with Node.js and TypeScript
• Experience 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 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 processing 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
• 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
• Ability to independently own features and services from technical discovery and design through production rollout
• Strong problem-solving, troubleshooting, communication, and collaboration skills
• Upper-Intermediate or higher English proficiency, written and spoken
• Nice to have: AI/ML or LLM-based applications experience
• Nice to have: AI agents or agent-ready APIs; MCP, A2A, tool calling, structured schemas, LangGraph, CrewAI, or Strands Agents
• Nice to have: Python for backend development, data processing, automation, or AI/ML integrations
• Nice to have: Redshift, Parquet, ETL/data pipelines, batch processing, or cross-cloud data flows
• Nice to have: GCP integrations and data flows across AWS and GCP
• Nice to have: React and TypeScript full-stack experience
• Nice to have: large-scale content/media processing, social platform integrations, content moderation, Trust & Safety, or Brand Safety systems

• 26 days vacation
• Floating and set holidays
• Wellness allowance
• Paid parental leave
• Medical insurance
• Life insurance
• Business travel insurance
• Stock options as part of the equity-sharing program
• Learning platform, training, and tools
• Surprise meal stipends
• Cell phone and internet stipends
• Home office setup stipend
• Mental wellness stipend
• Professional development and tuition reimbursement
• Occasional company-funded meals
• Flexible work model combining in-person and remote work