AI Automation Engineer — Self-Hosted LLMs for Quantum Ops

C12 Quantum Electronics

Paris

Hybride

EUR 46 000 - 50 000

Plein temps

14 jours+
Générateur de candidature

Une candidature sur mesure pour ce poste — un CV et une lettre de motivation personnalisés qui correspondent à l’offre.

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Avantages offerts par ce poste

Stock options for every employee
Conference trips sponsored
Paris office spaces
Swile meal vouchers
Mental health support
Learning & Development allowance
Sabbatical after 2 years
Vibrant office culture

Résumé du poste

C12 Quantum Electronics in Paris seeks an AI Automation Engineer to act as a technical force multiplier across IT/Software/Infrastructure, R&D and Operations. You will identify bottlenecks and solve them with intelligent systems, sitting at the intersection of multiple disciplines.

You will architect stateful AI workflows, deploy autonomous agents that use self-hosted LLM infrastructure, and balance rapid iteration with production-grade engineering while maintaining data sovereignty.

Qualifications

  • AI-native engineer with portfolio of end-to-end projects.
  • Experience with open-source models and local deployments is a plus.
  • Ability to translate business pain into technical solutions and explain choices.

Responsabilités

  • Architect transversal AI systems across R&D, IT Operations, and Software teams.
  • Deploy, maintain and optimize local LLM infrastructure to power intelligent automation.
  • Build pipelines using workflow orchestration tools and agentic frameworks with self-hosted models.

Connaissances

Python
Workflow orchestration
Self-hosted LLMs
DevOps
Security & data sovereignty

Outils

Ollama
vLLM
Docker
Ansible
OVH
Tailscale

Description du poste

C12 Quantum Electronics in Paris seeks an AI Automation Engineer to act as a technical force multiplier across IT/Software/Infrastructure, R&D and Operations. You will identify bottlenecks and solve them with intelligent systems, sitting at the intersection of multiple disciplines.

You will architect stateful AI workflows, deploy autonomous agents that use self-hosted LLM infrastructure, and balance rapid iteration with production-grade engineering while maintaining data sovereignty.

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