Senior Software Engineer – Brand Safety, Agentic AI

This is a fully remote position, open to applicants in Poland.

📋 Description

• Create, develop, and manage scalable backend services and APIs that underpin CreatorIQ’s Brand Safety and Safety & Compliance functionalities.

• Build and enhance event-driven and serverless architectures utilizing Node.js, TypeScript, AWS Lambda, SQS, EventBridge, S3, and other related AWS services.

• Design robust asynchronous workflows capable of managing retries, failures, duplicate processing, concurrency, throughput, and data integrity.

• Construct and manage large-scale data pipelines that ingest, process, validate, and store creator and social content.

• Develop backend workflows that integrate AI/ML and multimodal inference into customer-facing Brand Safety solutions.

• Create agent-ready APIs and tools that expose Brand Safety functionalities to AI agents.

• Build and manage AI agents as services that interact with other agents and systems through A2A, MCP, and similar frameworks.

• Enhance data models, queries, transactional workflows, and performance across AWS Aurora PostgreSQL and AWS RDS SQL Server.

• Integrate with external APIs, social media platforms, cloud services, and data-processing systems across AWS and GCP.

• Enhance observability, monitoring, alerting, performance, scalability, and reliability in production environments.

• 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.

⛳️ Requirements

• Over 5 years of professional software development experience, including management of complex production systems.

• Strong backend engineering expertise with Node.js and TypeScript.

• Proven experience in designing and building REST and/or GraphQL APIs, third-party integrations, and asynchronous processing workflows.

• Experience in developing serverless and event-driven architectures on AWS, utilizing Lambda, SQS, EventBridge, S3, and API Gateway.

• In-depth knowledge of relational databases, data modeling, transactions, and query optimization, particularly with PostgreSQL and/or SQL Server.

• Experience in constructing distributed or data-intensive systems that handle large volumes of data.

• Proven experience in designing APIs or tools for machine-to-machine or AI-agent interaction, including structured contracts, permissions, validation, idempotency, and predictable error handling.

• Familiarity with AI agents, tool calling, MCP, A2A, or similar agent interoperability frameworks.

• Strong understanding of authentication, authorization, secrets management, rate limiting, retries, failure recovery, and secure API design.

• Comprehensive understanding of automated testing, CI/CD, observability, monitoring, and operational practices in production.

• Ability to independently manage features and services from technical discovery and design through to production deployment.

• Strong problem-solving, troubleshooting, communication, and collaboration abilities.

• Upper-Intermediate or higher proficiency in English, both written and spoken.

• Nice to have: Experience with AI/ML or LLM-based applications.

• Nice to have: Knowledge of AI agents or agent-ready APIs; MCP, A2A, tool calling, structured schemas, LangGraph, CrewAI, or Strands Agents.

• Nice to have: Proficiency in Python for backend development, data processing, automation, or AI/ML integrations.

• Nice to have: Experience with 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: Full-stack experience with React and TypeScript.

• Nice to have: Experience in large-scale content/media processing, social platform integrations, content moderation, Trust & Safety, or Brand Safety systems.

🏝️ Benefits

• 26 days of vacation.

• Floating and designated holidays.

• Wellness allowance.

• Paid parental leave.

• Medical insurance.

• Life insurance.

• Business travel insurance.

• Stock options as part of the equity-sharing program.

• Access to a learning platform, training, and tools.

• Surprise meal stipends.

• Stipends for cell phone and internet expenses.

• Home office setup stipend.

• Mental wellness stipend.

• Professional development and tuition reimbursement.

• Occasional company-funded meals.

• Flexible work model incorporating both in-person and remote work.