DOMAINES D'INGÉNIERIE // TROIS FILIÈRES

Un seul ingénieur senior. Zéro latence de transfert.

Choisissez le domaine qui correspond au défi immédiat devant vous — la plupart des missions de production touchent naturellement les trois couches (serveur, application et fonctionnalités IA).

FILIÈRE 01

Web Development & Platform Rebuilds

End-to-end web development — from greenfield builds to rescuing platforms that have been compromised or have stalled under an underperforming codebase. This covers full-stack application builds, e-commerce, and CMS work, with the same standard applied throughout: a platform that's fast, secure, and maintainable, not just shipped.

Livrables d'ingénierie clés

  • Full-stack application builds (Next.js, React, Node.js)
  • Rescue and rebuild of malware-compromised or underperforming platforms
  • E-commerce builds and CMS work (WordPress, headless CMS)
  • SEO recovery and technical SEO foundations

Déroulement de la mission

Typically a fixed-scope engagement of 2–8 weeks, scoped against a clear before/after (traffic, security posture, load time) rather than an open-ended retainer.

Preuve vérifiée : wmedtour.com

VOIR LE DOSSIER

wmedtour.com — Reconstruction complète et redressement SEO

Résultat : 4.04K clics (+998%) et 724K impressions (+985%) en 28 jours, selon Google Search Console

Lire l'étude de cas

FILIÈRE 02

Infrastructure, DevOps & SRE

Infrastructure work at the layer where most subtle production issues actually live — reverse proxy and CDN configuration, multi-region and multi-CDN routing, container orchestration, and the debugging work needed when a platform is technically 'up' but intermittently unreliable.

Livrables d'ingénierie clés

  • Nginx / reverse proxy architecture and hardening
  • Multi-region and multi-CDN routing setups
  • Docker and Docker Compose orchestration
  • Performance and reliability engineering (CDN/WAF/load-balancer debugging)

FILIÈRE 03

AI Engineering & Automation

AI engineering focused on production-shaped outcomes: multi-agent systems that coordinate real workflows, retrieval-augmented generation grounded in your own data, LLM integration into existing products, and automation pipelines (including n8n) that remove manual work rather than adding a chatbot on top of it.

Livrables d'ingénierie clés

  • Agentic AI systems and multi-agent orchestration
  • Retrieval-augmented generation (RAG) over your own data
  • LLM integration into existing products and workflows
  • Workflow automation (n8n) and AI-assisted SEO/content pipelines
ARCHITECTURE TRANSVERSALE

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