AI Automation Engineer: Self-Hosted LLMs for Quantum Ops

Varsity Capital; Paris; Hybride; EUR 46 000 - 50 000; Plein temps

Avantages offerts par ce poste

Stock options

Sponsored conference travel

Swile meal vouchers

Mental health support

Learning & Development allowance

Sabbatical leave

Vibrant office culture

Résumé du poste

C12 Quantum Electronics, based in Paris, is seeking its first AI Automation Engineer to become a technical force multiplier across IT/Software/Infrastructure, R&D and Operations. The role focuses on identifying operational bottlenecks and solving them with intelligent systems.

You will architect stateful AI workflows, deploy autonomous agents with self-hosted LLM infrastructure, and balance rapid iteration with production‑grade engineering to build an AI‑native quantum computing organization

Qualifications

• Proficient in Python for data processing, automation, and agent logic.
• Experience with workflow engines and integrating with self-hosted LLM endpoints.
• Strong understanding of RAG, tool-calling, Prompt Engineering and MCPs.
• Solid knowledge of cloud infrastructure, containerization and VPN solutions.
• Ability to translate business pains into technical implementations and communicate with diverse teams.

Responsabilités

• Architect transversal AI systems across R&D, IT Operations and Software teams.
• Deploy and optimize local LLM infrastructure with a focus on data security and confidentiality.
• Build end-to-end AI pipelines and autonomous agents for internal tooling.
• Develop MCP servers and API integrations for secure access to internal systems and quantum platforms.
• Establish AI observability and iteration loops to improve reliability.

Connaissances

Python

Orchestration

LLM Engineering

Infrastructure & DevOps

Transversal Communication

Security-First Approach

Adaptability

Outils

Prefect

LangGraph

n8n

Docker

OVH cloud

Tailscale

Ansible

Description du poste

C12 Quantum Electronics, based in Paris, is seeking its first AI Automation Engineer to become a technical force multiplier across IT/Software/Infrastructure, R&D and Operations. The role focuses on identifying operational bottlenecks and solving them with intelligent systems.

You will architect stateful AI workflows, deploy autonomous agents with self-hosted LLM infrastructure, and balance rapid iteration with production‑grade engineering to build an AI‑native quantum computing organization