Senior Software Engineer – Brand Safety, Agentic AI

Job not on LinkedIn

🔥 0 minutes ago

🇵🇱 Poland – Remote

💵 zł299k - zł375k / year

⏰ Full Time

🟠 Senior

🧑‍💻 Full-stack Engineer

👻 Ghost score 0%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

CreatorIQ

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2014

📣 Marketing

📱 Media

☁️ SaaS

Marketing • Media • SaaS

CreatorIQ is a leading influencer marketing software platform that assists brands across various industries in growing, managing, scaling, and measuring their creator programs. It provides tools for discovering creators, executing campaigns, and optimizing performance with advanced analytics. CreatorIQ is designed to enhance brand engagement by leveraging the power of content and connections with trusted creators and communities. The platform is used by global enterprises, media and sports organizations, and direct-to-consumer brands to track, manage, and maximize their influencer marketing efforts.

📋 Description

• 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

🎯 Requirements

• 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

🏖️ Benefits

• 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