Senior Software Engineer – Brand Safety, Agentic AI

🕒 il y a 9 jours

🇵🇱 Pologne – Télétravail

💵 zł299 000 - zł375 000 / an

⏰ Temps Plein

🟠 Senior

🧑‍💻 Développeur Full-Stack

👻 Score fantôme 0%

Ce que ça veut dire : la probabilité que personne ne recrute vraiment pour cette offre.Comment le lire : 60 % ou plus, on pense que c'est une offre fantôme. Un score plus bas est moins inquiétant.Comment on la calcule : ancienneté, republications, postes ouverts vs taille de l'équipe, rapidité de clôture, et si le salaire est indiqué.À noter : une estimation à partir de données publiques, pas un jugement sur l'entreprise. De vraies offres peuvent avoir un score élevé, alors prenez-le comme un indice, pas comme un fait.

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CreatorIQ

Site WebLinkedInTous les Emplois

201 - 500 employés

Fondée en 2014

📣 Marketing

📱 Médias

☁️ SaaS

Marketing • Media • SaaS

CreatorIQ est la plateforme de marketing d'influence la plus fiable pour les organisations cherchant à faire progresser leur marketing de créateurs. Sa technologie de pointe et son intelligence de premier plan dans l'industrie facilitent la découverte de créateurs à grande échelle, simplifient les flux de travail et offrent des rapports robustes, tout en garantissant la conformité et la sécurité de la marque. Des milliers des marques et agences les plus innovantes au monde utilisent CreatorIQ, y compris Disney, Logitech, Movers+Shakers, Nestlé, RQ, Sephora, Unilever et bien d'autres.

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

🎯 Exigences

• 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

🏖️ Avantages

• 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

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