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You’ll individually help deploy into production use cases with a considerable business impact across various industries.
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You’ll work on state-of-the-art GenAI applications from consumer products to industrial use cases, driving with our customers a crucial technological transformation.
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You’ll work in collaboration with our researchers, other AI engineers, product engineers on our most complex customer projects involving complex fine-tuning, state-of-the-art LLM applications, and contributing to our open-source codebases our open source codebases for tasks such as inference and fine-tuning.
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You’ll be involved in pre-sales calls to understand potential clients' needs, challenges, and aspirations. You will provide technical guidance on our products and explain Mistral technologies to various stakeholders.
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Your collaboration with our product and science team to improve continuously our product and model capabilities based on customers’ feedback
How We Work in Applied AI
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We care about people and outputs.
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What matters is what you ship, not the time you spend on it
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Bureaucracy is where urgency goes to vanish. You talk to whoever you need to talk to. The best idea wins, whether it comes from a principal engineer or someone in their first week.
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Always ask why. The best solutions come from deep understanding, not from copying what worked before
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We say what we mean. Feedback is direct, timely, and given because we care.
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No politics. Low ego, high standards.
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We embrace an unstructured environment and find joy in it.
About you
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You are fluent in English
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You have 2+ years as a technical individual contributor (data scientist or software engineer) on AI-based products
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You have proven experience in AI or machine learning product implementation with APIs, back-end and front-end interfaces.
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You have experience in Fine Tuning LLMs, tackling advanced RAG or agentic use cases
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You have deep understanding of concepts and algorithms underlying machine learning and LLMs
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You have strong technical coding skills in Python
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You hold strong communication skills with an ability to explain complex technical concepts in simple terms with technical and non-technical audiences
Ideally you have:
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Contributed to open-source projects in particular in the space of LLMs
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Experience as a Customer Engineer, Forward Deployed Engineer, Sales Engineer, Solutions Architect or Technical Product Manager
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You have experience with deep learning with Pytorch
Why join us?
You’ll have the opportunity to shape the future of AI adoption in enterprises, work with a world-class team, and contribute to open-source projects that impact millions. If you’re excited about leading technical innovation and solving real-world challenges with AI, we’d love to hear from you!
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