Senior Software Engineer - Brand Safety & Agentic AI

New

CreatorIQBrand safety

Location: Warsaw Workplace: RemoteFull-TimeSenior

SalaryPLN 299K - PLN 375K; PLN 299K – PLN 375K • Offers Equity

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Job Details

Languages: Upper-Intermediate or higher English proficiency, both written and spoken.
Experience: 5+ years of professional software development experience
Required Skills: GraphQLNode.jsPostgreSQLMicrosoft SQL ServerTypeScriptRESTful APIsAWS Lambda

Have 5+ years of professional software development experience, including ownership of complex production systems.
Bring strong backend engineering experience with Node.js and TypeScript.
Have experience designing and building REST and/or GraphQL APIs, third-party integrations, and asynchronous processing workflows.
Have experience building serverless and event-driven systems on AWS using services such as Lambda, SQS, EventBridge, S3, and API Gateway.
Have strong knowledge of relational databases, data modeling, transactions, and query optimization; PostgreSQL and/or SQL Server experience is preferred.
Have experience building distributed or data-intensive systems that reliably process large volumes of data.
Have experience designing APIs or tools for machine-to-machine or AI-agent use, including structured contracts, permissions, validation, idempotency, and predictable error handling.
Understand authentication, authorization, secrets management, rate limiting, retries, failure recovery, and secure API design.
Have a strong understanding of automated testing, CI/CD, observability, monitoring, and production operations.
Be able to independently own features and services from technical discovery and design through production rollout.
Have upper-intermediate or higher English proficiency, both written and spoken.

Design, build, and operate scalable backend services and APIs for 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 asynchronous workflows that handle retries, failures, duplicate processing, concurrency, throughput, and data consistency.
Design and operate data pipelines that ingest, process, validate, and persist 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, and build and operate AI agents as services using 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.
Improve observability, monitoring, alerting, performance, scalability, and production reliability across services and data pipelines.
Collaborate with Product, Data Science, ML, QA, DevOps, and engineering teams to deliver reliable production systems.
Contribute to technical design and architecture, review code, mentor engineers, and establish engineering best practices.

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