Applied AI Engineer, Australia

Mistral
Sydney
Workplace: OnsiteFull timeFunction: Data Science & Machine LearningSkills: ["Communication","Technical writing","Problem-solving"]

Bridge cutting-edge AI research with enterprise-ready applications as an Applied AI Engineer on the Applied AI team. You’ll deploy production AI use cases across industries, build GenAI applications (including fine-tuning, advanced LLM, and RAG/agentic solutions), and collaborate with researchers and product teams. Partner with clients from pre-sales to implementation, provide technical guidance, and iterate model/product capabilities based on feedback while contributing to open-source codebases.

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FursaFursa
Mistral
Mistral
1 week ago

Applied AI Engineer, Australia

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Source: Company careers pageValidated by: Fursa AI
Last checked: 4 hours agoStatus: Live

Job Summary

Bridge cutting-edge AI research with enterprise-ready applications as an Applied AI Engineer on the Applied AI team. You’ll deploy production AI use cases across industries, build GenAI applications (including fine-tuning, advanced LLM, and RAG/agentic solutions), and collaborate with researchers and product teams. Partner with clients from pre-sales to implementation, provide technical guidance, and iterate model/product capabilities based on feedback while contributing to open-source codebases.
Location: Sydney
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Deploy production-ready AI use cases with significant business impact across diverse industries.
  • •Develop state-of-the-art GenAI applications spanning consumer and industrial solutions.
  • •Collaborate with researchers, AI engineers, and product teams on customer projects (fine-tuning, advanced LLM applications, open-source contributions).
  • •Join pre-sales calls to understand client needs and provide technical guidance on Mistral’s products.
  • •Improve model and product capabilities based on customer feedback with product and science teams.

Key Requirements

  • •Experience as a technical individual contributor (data scientist or software engineer) on AI-based products.
  • •Track record implementing AI/ML products with APIs and front-end/back-end interfaces.
  • •Hands-on experience fine-tuning LLMs, advanced RAG, or agentic use cases.
  • •Strong understanding of machine learning and LLM concepts and algorithms.
  • •Strong coding skills in Python and ability to explain complex concepts to technical and non-technical audiences.
Experience:AIMachine learningGenAILLMOpen source
Skills:CommunicationTechnical writingProblem-solving
Languages:English
Tech Stack:PythonLLMsRAGFine-tuningAPIsBack-endFront-end

Company Brief

Mistral
Develops state-of-the-art large language models and AI systems, offering models and developer tools for natural language understanding, generation, and enterprise AI integrations. Focuses on open research and production-ready model deployments.
Industry: AI & Machine Learning
Company Size: Medium (51 to 250 employees)
Growth: Early Stage Startup
Funding: Seed
Headquarters: Paris, France
Founded: 2023
WebsiteLinkedIn