Mistral AI
This role focuses on optimizing Mistral's core inference stack, including the inference engine and orchestration, to deliver high-performance serving for frontier AI models. The position involves enhancing throughput and reducing latency while ensuring elastic capacity and supporting the training loops for large-scale models. The engineer will work on production LLM serving, platform development, and capacity engineering within a distributed team.
Mistral AI builds frontier large language models and an enterprise AI platform that lets companies customize, fine‑tune, and deploy AI assistants, autonomous agents, and multimodal models. Their offering centers on open models, developer APIs, and professional services designed for secure, scalable integration into products and workflows. Mistral combines research-grade model development with tooling for building tailored assistants and autonomous agents for business use cases. They also publish research and consumer-facing apps that showcase their models in action.
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Headquarters
San Francisco, CA
Company Size
201-500 employees
Founded
2018
Industry
Technology
Glassdoor Rating
4.2 / 5
Sarah Johnson
Chief Executive Officer
Michael Chen
Chief Technology Officer
Emily Williams
VP of Engineering
David Rodriguez
VP of Product
Jessica Thompson
Chief Financial Officer
Andrew Park
VP of Sales
View leadership team, funding history,
and employee contacts for Mistral AI.
Mistral AI didn’t post a salary, so this is our estimate from similar listings.
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