Applied AI Engineer: Enterprise GenAI Deployments

Firstminute Capital

Paris

Sur place

EUR 90 000 - 120 000

Plein temps

14 jours+
Générateur de candidature

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Résumé du poste

Mistral AI is seeking an Applied AI Engineer to help customers adopt its cutting-edge GenAI solutions and tackle complex technical challenges. You will bridge research and real-world enterprise applications, contributing to end-to-end project delivery with a strong customer focus.

In this role you will work closely with researchers and product teams to implement, fine-tune, and scale AI models, APIs, and interfaces for enterprise clients.

Qualifications

  • Fluent in English and able to communicate with diverse stakeholders.
  • 2+ years as a technical individual contributor on AI-based products.
  • Experience implementing AI/ML products with APIs, back-end and front-end interfaces.
  • Experience fine-tuning LLMs for advanced RAG or agentic use cases.
  • Strong understanding of ML and LLM concepts.
  • Proficient Python coding skills with good software practices.

Responsabilités

  • Deploy production AI use cases with measurable business impact across industries.
  • Develop state-of-the-art GenAI applications with customers, from pre-sales through deployment.
  • Collaborate with researchers, AI engineers, and product engineers on complex projects including fine-tuning and inference.
  • Provide technical guidance during pre-sales calls and explain Mistral technologies to stakeholders.
  • Help improve product and model capabilities based on customer feedback.

Connaissances

English fluency
AI product implementation
Fine-tuning LLMs
Python programming
ML concepts

Description du poste

Mistral AI is seeking an Applied AI Engineer to help customers adopt its cutting-edge GenAI solutions and tackle complex technical challenges. You will bridge research and real-world enterprise applications, contributing to end-to-end project delivery with a strong customer focus.

In this role you will work closely with researchers and product teams to implement, fine-tune, and scale AI models, APIs, and interfaces for enterprise clients.

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