GenAI Platform Engineer — Multi-Tenant AI Leader

Aimlroles

Paris

Sur place

EUR 90 000 - 130 000

Plein temps

14 jours+

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Avantages offerts par ce poste

Meaningful work
Great culture
Empowering environment

Résumé du poste

Pluxee seeks a GenAI Engineer to own the internal AI platform and act as a GenAI advisory for IT teams across the group. You will manage the LLM integration, MCP servers, and multi-tenant architecture to enable scalable AI capabilities.

This hands-on role combines platform ownership with helping IT adopt GenAI tools, ensuring GDPR compliance and secure, observable production deployments in a global enterprise.

Qualifications

  • 5+ years in backend/full-stack development with GenAI/LLM in production
  • Experience deploying AI platforms on cloud infrastructure (Azure preferred)
  • Experience in multi-BU enterprise environments is a plus

Responsabilités

  • Own the technical roadmap for internal AI platform and new integrations
  • Ensure reliability, security, and performance of production platform
  • Design and deploy business AI agents with access controls
  • Manage LLM integration layer: routing, guardrails, token quotas, cost management
  • Lead multi-tenant architecture for per-BU scope
  • Operate MCP servers (Jira/Confluence, web search, upcoming SharePoint)
  • Define and roll out AI development lifecycle standards (AIDLC)
  • Support dev teams adopting GenAI tools and practices
  • Identify priority AI use cases and co-build solutions
  • Act as GenAI technical reference: architecture, security, GDPR compliance
  • Lead technology watch on GenAI ecosystem with concrete proposals

Connaissances

GenAI/LLM systems
Cloud infrastructure
Kubernetes
Azure
CI/CD
Security & GDPR compliance
Python/Node.js
English communication

Outils

Azure OpenAI
LiteLLMor proxy
Jira/Confluence MCP
MongoDB
PostgreSQL
Redis
MeiliSearch

Description du poste

Pluxee seeks a GenAI Engineer to own the internal AI platform and act as a GenAI advisory for IT teams across the group. You will manage the LLM integration, MCP servers, and multi-tenant architecture to enable scalable AI capabilities.

This hands-on role combines platform ownership with helping IT adopt GenAI tools, ensuring GDPR compliance and secure, observable production deployments in a global enterprise.

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