Your role at C12 Quantum Electronics:
Transversal Solution Architecture: Partner with teammates across R&D, IT Operations, and Software teams to map their workflows and design end-to-end AI systems that solve their specific operational challenges
Self-Hosted LLM Infrastructure: Deploy, maintain and optimize local LLM infrastructure (Ollama, vLLM, or similar) to power intelligent automation while ensuring data security and compliance with research confidentiality requirements
Hybrid Automation & Agentic Systems: Build robust pipelines using workflow orchestration tools, python for custom logic and agentic frameworks powered by self-hosted models for intelligent reasoning
Full-Stack Prototyping: Own the full lifecycle—from identifying an opportunity to shipping a production-ready internal tool (e.g. automated documentation systems, intelligent task management or infrastructure monitoring agents).
Extending AI Capabilities: Develop and maintain MCP (Model Context Protocol) servers and API integrations to give our self-hosted agents secure access to internal systems (Google Workspace, Nextcloud, monitoring tools) and quantum computing platforms.
AI Observability & Iteration: Implement feedback loops to track the performance and reliability of your automations, moving from "vague prompts" to deterministic, high-quality outputs.
Infrastructure Integration: Work closely with existing infrastructure (OVH cloud, Tailscale VPN, Ansible automation) to deploy secure, scalable AI-powered solutions on our private infrastructure
We are seeking our first AI Automation Engineer to act as a technical force multiplier across the entire organization. This is a transversal role: you will sit at the intersection of IT/Software/Infrastructure, R&D and Operations to identify operational bottlenecks and solve them with intelligent systems.
You won't just be "automating tasks", you will be architecting stateful AI workflows and deploying autonomous agents that handle complex, multi-step logic using self-hosted LLM infrastructure. You will balance rapid iteration with production-grade engineering to build a truly AI-native quantum computing organization while maintaining complete data sovereignty.
Key responsibilities:
About you:
Builder Mindset: You are an "AI-native" engineer who excels at turning ideas into working systems with a portfolio of personal projects or previous experience showing you can build "end-to-end.
Orchestration: You have experience with Prefect, LangGraph, n8n, or similar workflow engines that can integrate with self-hosted LLM endpoints.
Languages: You have strong proficiency in Python (for data processing, automation, and agent logic).
LLM Engineering: You have a deep understanding of RAG, tool-calling, Prompt Engineering and MCPs. Experience adapting these techniques for open-source models and local deployments is a plus
Infrastructure & DevOps: You have a solid understanding of cloud infrastructure (OVH preferred), containerization (Docker), GPU management, VPN solutions (Tailscale) and configuration management (Ansible).
Transversal Communication: You can translate a "business pain" into a "technical implementation" and explain your architectural choices to both technical and non-technical peers, including quantum researchers.
Security-First Approach: You have a strong understanding of secure automation practices, data sovereignty and the importance of keeping sensitive research data on-premises. Experience with private networking and access control is a plus
Adaptability: You thrive in ambiguity and are excited by the prospect of touching every part of a growing deep-tech quantum computing startup.
- 46,000 - 50,000 euros yearly base salary
- Stock options for every employee (BSPCE/ESOP)
- Sponsored trip to conferences around the world
- A highly dynamic international team
- Swile meal vouchers
- Mental health support with moka.care
- Annual Learning & Development Allowance
- Sabbatical leave (after 2 years in the company)
- Vibrant office culture (two office spaces in the heart of Paris, team lunches, offsite events, Friday breakfasts..)
- You like hands-on work and technology
- You want to contribute to achieving landmark results in quantum computing, making a difference in the emerging quantum technologies
- You want to work within a team of 80+ people with various backgrounds in nanofabrication, quantum electronics, and carbon nanotube science to create a revolutionary quantum computing processor
- You want to thrive in an exceptional scientific environment with several industrial and academic partners
- You share our values (excellence, scientific integrity, diversity, curiosity, and care) and want to help us define our product-focused culture and ambition to accelerate
Skills Required
- Strong proficiency in Python for data processing, automation, and agent logic.
- Experience with workflow orchestration tools (Prefect, LangGraph, n8n).
- Deploying, maintaining and optimizing self-hosted LLM infrastructure (Ollama, vLLM, or similar).
- Deep understanding of RAG, tool-calling, prompt engineering and MCPs (Model Context Protocol).
- Experience building agentic systems and stateful AI workflows, including end-to-end prototyping and shipping internal tools.
- Experience developing MCP servers and API integrations with internal systems (Google Workspace, Nextcloud, monitoring tools).
- Infrastructure and DevOps skills: Docker, GPU management, Ansible, and cloud deployment experience.
- Familiarity with VPN/private networking solutions (Tailscale) and secure automation practices.
- Ability to translate business problems into technical architectures and communicate with technical and non-technical stakeholders.
- Experience adapting LLM techniques for open-source models and local deployments.
- Experience with OVH cloud.
- Experience with private networking and access control (security-first approach).
What We Do
C12 is building reliable quantum computers. The company is a spin-off from ENS launched in January 2020 by twin brothers Matthieu and Pierre Desjardins to supercharge the development of the lab’s promising new quantum technology. Quantum computing has the potential to change our lives. But frequent errors limit the technology’s viability. We are tackling the fundamental issue: the nature of the hardware itself. We are tapping into the simplest material–carbon–to drive a technological breakthrough in the field. Unlike other quantum computers, we use carbon nanotubes as the fundamental building block of our processor. By combining the power of an ultra-pure material with an easy-to-manufacture semiconductor device, we are building a scalable platform for quantum computing. Our executive co-founders bring a unique combination of scientific excellence and business skills to the company. Our team is made up of the world’s most accomplished experts in quantum electronics and carbon nanotube science. Our scientific advisors are renowned scientists and pioneers in spin qubits: Dr. Takis Kontos, Dr. Matthieu Delbecq and Dr. Jérémie Viennot. In June 2021, C12 secured a $10 million seed round with funding from 360 Capital, Bpifrance (Digital Venture Fund), Airbus Ventures, BNP Paribas Développement, and Octave Klaba (OVHcloud), and additional grants from Bpifrance and the Ile-de-France Region. We are leading quantum’s next material breakthrough, and we are just getting started. Silicon enabled the emergence of classical computing – it’s time for carbon to do the same for quantum !
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