Applied AI Engineer: GenAI & Fine-Tuning (Amsterdam)

Mistral Ai

Amsterdam

On-site

EUR 90,000 - 130,000

Full time

3 days ago
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Job summary

Mistral AI is seeking an Applied AI Engineer to accelerate adoption of its products with enterprise customers. You will collaborate with researchers and engineers to deploy cutting-edge GenAI solutions, addressing complex needs and delivering measurable business impact.

You will join a customer-facing team bridging research and production, with responsibility for end-to-end project execution, model refinement, and technical guidance across stakeholders.

Qualifications

  • Fluent in English.
  • 2+ years as a technical individual contributor on AI-based products.
  • Proven experience in AI/ML product implementation with APIs, back-end and front-end interfaces.
  • Experience in Fine Tuning LLMs, tackling advanced RAG or agentic use cases.
  • Deep understanding of concepts and algorithms underlying ML and LLMs.
  • Strong Python coding skills.
  • Strong communication skills with ability to explain complex tech to varied audiences.

Responsibilities

  • Deploy into production use cases with significant business impact across industries.
  • Work on state-of-the-art GenAI applications from consumer products to industrial cases.
  • Collaborate with researchers and engineers on complex projects involving fine-tuning and LLMs.
  • Contribute to pre-sales calls by explaining Mistral technologies to stakeholders.
  • Collaborate with product and science teams to improve models based on customer feedback.

Skills

Python
LLM Fine-tuning
AI implementation
APIs
English

Tools

PyTorch

Job description

Mistral AI is seeking an Applied AI Engineer to accelerate adoption of its products with enterprise customers. You will collaborate with researchers and engineers to deploy cutting-edge GenAI solutions, addressing complex needs and delivering measurable business impact.

You will join a customer-facing team bridging research and production, with responsibility for end-to-end project execution, model refinement, and technical guidance across stakeholders.

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