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Mistral AI

Open-weight LLMs and enterprise AI deployment

Applied AI Technical Lead - Forward Deployed AI Engineer

AI Application EngineeringConfirmed live in the last 24 hours
Full-timeLondon, UKNo salary listedIn-person

About the Job

Requirements

  • Fluency in English.
  • A PhD or Master's degree in AI, Machine Learning, Computer Science, or a related field.
  • 7/8+ years of experience in AI/ML, including at least 2+ years in a technical leadership role focused on AI products or enterprise solutions.
  • A proven track record of leading teams to deliver complex AI projects from prototyping to production in industries such as technology, finance, healthcare, or industrial automation.
  • Deep expertise in fine-tuning LLMs, advanced RAG, agentic systems, and deploying NLP applications at scale.
  • Proficiency in Python, PyTorch, and modern AI frameworks such as LangChain and Hugging Face.
  • Strong software engineering skills, including API design, backend/full-stack development, and system architecture.
  • Ability to communicate complex concepts to technical and non-technical audiences, including executives and engineers.

Responsibilities

  • Deliver critical code for complex projects as an individual contributor, remaining hands-on to de-risk critical project areas through coding, reviewing, and optimizing AI solutions.
  • Lead technical teams of Applied AI Engineers by providing mentorship, technical guidance, and best practices for deploying generative AI applications across industries.
  • Lead technical discussions during pre-sales, translating customer requirements into actionable solutions and communicating Mistral's technological advantages to stakeholders.
  • Design and oversee the implementation of complex AI systems, including fine-tuning, retrieval-augmented generation, agentic workflows, and custom large language model applications, aligned with the product roadmap and open-source initiatives.
  • Identify emerging trends in AI, evaluate tools and methodologies, and champion best practices for fine-tuning, inference, and deployment.
  • Collaborate with product managers, researchers, and engineers to integrate customer feedback into product development.

Desired Qualifications

  • Experience with cloud platforms such as AWS, GCP, or Azure, and MLOps tools.
  • Contributions to open-source projects, particularly in the LLM or AI space.
  • Experience in customer-facing roles such as Solutions Architect, Customer Engineer, or Technical Product Manager, focused on enterprise AI adoption.
  • A track record of driving technical strategy and influencing product direction based on customer needs and market opportunities.

About the Company

Mistral AI

Open-weight LLMs and enterprise AI deployment

Mistral AI builds open-weight large language models and the tools to run them, along with inference infrastructure and enterprise products that let organizations deploy AI with control over data residency, customization, and the underlying stack. Its platform provides open-model architectures and a deployment stack for inference, governance, and integration that can run on‑premises or in the cloud. This openness and modular stack differentiate it from single-vendor hyperscalers by prioritizing data locality and flexibility. The company aims to enable reliable, customizable AI deployment at scale for businesses and public-sector customers across many countries.

Company size
1,001-5,000
Company stage
Series D
Total funding
$7.2B
Headquarters
Paris, France
Founded
2023

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