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Mistral AI

Open-weight LLMs and enterprise AI deployment

Applied AI Engineer Tech Lead

Natural Language Processing & LLMsUpdated on Nov 10
Full-timeSydney NSW, AustraliaNo salary listedIn-person

About the Job

Requirements

  • A PhD or Master’s degree in AI, Machine Learning, Computer Science, or a related field.
  • Seven to eight or more years of experience in AI/ML, including at least two 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 large language models, advanced retrieval-augmented generation (RAG), agentic systems, and deploying natural language processing applications at scale.
  • Proficiency in Python, PyTorch, and modern AI frameworks such as LangChain and Hugging Face.
  • Experience with cloud platforms such as AWS, GCP, or Azure, and MLOps tools is a plus.
  • Strong software engineering skills, including API design, backend or full-stack development, and system architecture.
  • Ability to articulate complex concepts to technical and non-technical audiences, including executives and engineers.

Responsibilities

  • Deliver critical lines of code on complex projects, remaining hands-on to de-risk critical project components.
  • 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 implementation of complex AI systems, including fine-tuning, RAG, agentic workflows, and custom large language model applications, aligned with the product roadmap and open-source initiatives.
  • Identify emerging AI trends, 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 the product development cycle.

Desired Qualifications

  • Contributions to open-source projects, particularly in the large language model 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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