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Mistral is a full-stack AI company providing frontier models, developer tools, applications, and compute infrastructure. They partner with enterprises across finance, manufacturing, defense, healthcare, and the public sector to co-create customized AI systems.
In this role, you will be a bridge between Mistral's AI infrastructure and enterprise customers. Your primary responsibilities include onboarding customers onto Mistral's products, guiding them through deployment and integration, and ensuring optimal production setups spanning the GPU stack, infrastructure, backend, and frontend interfaces.
You'll deploy state-of-the-art AI applications ranging from consumer products to industrial use cases, working directly with customers to drive technological transformation. Collaboration is central: you'll partner with researchers, AI engineers, and product engineers on complex customer projects involving deployment, scaling, and contributions to open-source codebases for inference and fine-tuning.
You'll also participate in pre-sales technical calls, understanding client needs and aspirations while providing guidance on Mistral's products and explaining AI technologies to diverse stakeholders—both technical and non-technical.
Required qualifications: Bachelor's or Master's degree in Computer Science, Engineering, or related field; 2+ years in DevOps or Site Reliability Engineering; production experience with AI-based products; fluency in Python; hands-on experience with Docker, Kubernetes, CI/CD pipelines, and cloud platforms (AWS, Azure, GCP); infrastructure-as-code tools (Terraform, Ansible); and strong communication skills.
Ideal candidates have prior experience as a Customer Engineer, Forward Deployed Engineer, Sales Engineer, Solutions Architect, or Technical Product Manager; familiarity with PyTorch or TensorFlow; and open-source contributions in DevOps or AI.
