Senior Node.js Integration Engineer for AI-Driven Workflows

Cuez

Vlaams-Brabant

Hybride

EUR 70 000 - 90 000

Plein temps

Il y a 13 jours
Générateur de candidature

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Avantages offerts par ce poste

Health coverage
Mobility support
Flexible hours
Hybrid options
Learning budget

Résumé du poste

At Cuez, we’re seeking a Node.js Integration Engineer to design and build integrations connecting our broadcast automation platform with a broad ecosystem of third-party systems.

You will contribute to modular, resilient architecture and work API-first, with a path toward MCP-based AI-driven workflows. Hybrid work options exist, and collaboration with product and engineering teams is essential.

Qualifications

  • Strong Node.js and TypeScript skills.
  • Solid experience building and consuming REST APIs.
  • Comfortable working in a service-oriented or microservices architecture.
  • Familiar with event-driven systems and async patterns.
  • You take ownership—deadlines matter in broadcast.
  • Experience with MCP or AI tooling is a plus, not a requirement.

Responsabilités

  • Design, build and maintain integrations between our platform and third-party broadcast systems.
  • Build and consume REST APIs with clean, well-defined integration contracts.
  • Contribute to the decoupling of core services toward a more modular, service-oriented architecture.
  • Work with event-driven systems and async patterns to ensure reliability under pressure.
  • Collaborate closely with product and engineering teams to translate real broadcast needs into solid technical solutions.
  • Help shape the path toward MCP-based, AI-driven workflow automation.

Connaissances

Node.js
TypeScript
REST APIs
Service-oriented architecture
Event-driven systems
Ownership & deadlines

Description du poste

At Cuez, we’re seeking a Node.js Integration Engineer to design and build integrations connecting our broadcast automation platform with a broad ecosystem of third-party systems.

You will contribute to modular, resilient architecture and work API-first, with a path toward MCP-based AI-driven workflows. Hybrid work options exist, and collaboration with product and engineering teams is essential.

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