Forward-Deployed AI Engineer for Enterprise GenAI

Mistral

Greater London

On-site

GBP 70,000 - 120,000

Full time

9 days ago

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Benefits offered by this job

Healthcare coverage
Parental leave
Relocation support
Retirement plans
Wellness programs
Meal & transportation allowances

Job summary

Mistral is seeking an Applied AI Engineer to help deploy cutting-edge AI solutions for enterprise customers. You will work across pre-sales to implementation, bridging research and real-world applications with strong customer engagement.

You will collaborate with researchers and engineers on complex projects, including fine-tuning, state-of-the-art LLM apps, and contributing to open-source codebases. Strong technical and communication skills are essential.

Qualifications

  • You are fluent in English and can communicate complex ideas clearly.
  • 2+ years experience as a technical individual contributor (data scientist or software engineer) on AI-based products.
  • Proven experience in AI or ML product implementation with APIs, back-end and front-end interfaces.
  • Experience with Fine-Tuning LLMs and tackling advanced RAG or agentic use cases.
  • Deep understanding of ML/LLMs concepts and algorithms.
  • Strong Python coding skills.
  • Strong communication and ability to explain complex technical concepts to diverse audiences.

Responsibilities

  • Deploy AI use cases into production with measurable business impact across industries.
  • Work on state-of-the-art GenAI applications with customers to drive transformation.
  • Collaborate with researchers, AI engineers, and product engineers on complex projects including fine-tuning and open-source codebases.

Skills

English fluency
AI product experience
API integration
Fine-Tuning LLMs
Python
ML concepts
Communication
2+ years experience

Tools

PyTorch

Job description

Mistral is seeking an Applied AI Engineer to help deploy cutting-edge AI solutions for enterprise customers. You will work across pre-sales to implementation, bridging research and real-world applications with strong customer engagement.

You will collaborate with researchers and engineers on complex projects, including fine-tuning, state-of-the-art LLM apps, and contributing to open-source codebases. Strong technical and communication skills are essential.

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