Applied AI Engineer — GenAI Deployment (EMEA)

Mistral

Paris

On-site

EUR 70,000 - 100,000

Full time

14 days+

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Benefits offered by this job

Healthcare coverage
Parental leave
Retirement plans
Relocation support
Wellness programs
Meal allowance
Transportation allowance

Job summary

Mistral AI is seeking an Applied AI Engineer to facilitate adoption of its products among customers and collaborate to address complex technical challenges. You will help deploy GenAI solutions, working across consumer and industrial use cases, and partner with researchers, engineers and pre-sales teams to ensure robust, scalable implementations.

You will bridge cutting-edge AI research with real-world enterprise applications, contribute to open-source codebases, and help drive technical

Qualifications

  • 2+ years as a technical individual contributor on AI-based products
  • Experience implementing AI or ML products with APIs, backend and frontend interfaces
  • Deep understanding of ML/LLM concepts and algorithms
  • Strong Python coding skills
  • Excellent communication with technical and non-technical audiences

Responsibilities

  • Deploy into production use cases with significant business impact across industries
  • Work on state-of-the-art GenAI applications with customers across products and use cases
  • Collaborate with researchers, AI engineers and product engineers on complex projects including fine-tuning and LLMs
  • Provide technical guidance during pre-sales calls and explain Mistral technologies to stakeholders
  • Collaborate with product and science teams to improve product and model capabilities based on feedback

Skills

English fluency
AI product development
Python programming
Fine-tuning LLMs
APIs integration
Communication

Tools

PyTorch
REST APIs

Job description

Mistral AI is seeking an Applied AI Engineer to facilitate adoption of its products among customers and collaborate to address complex technical challenges. You will help deploy GenAI solutions, working across consumer and industrial use cases, and partner with researchers, engineers and pre-sales teams to ensure robust, scalable implementations.

You will bridge cutting-edge AI research with real-world enterprise applications, contribute to open-source codebases, and help drive technical

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