Applied AI Engineer, Australia
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What you'll do
- Deploy production-ready AI use cases with significant business impact across diverse industries.
- Develop state-of-the-art GenAI applications, from consumer products to industrial solutions, driving technological transformation for customers.
- Collaborate with researchers, AI engineers, and product teams on complex customer projects involving fine-tuning, advanced LLM applications, and contributions to open-source codebases.
- Participate in pre-sales calls to understand client needs, challenges, and aspirations, providing technical guidance on Mistral’s products.
- Work with product and science teams to continuously improve model and product capabilities based on customer feedback.
What they're looking for
- Fluency in English.
- Experience as a technical individual contributor (data scientist or software engineer) on AI-based products.
- Proven track record in implementing AI or machine learning products with APIs, back-end, and front-end interfaces.
- Hands-on experience with fine-tuning LLMs, advanced RAG, or agentic use cases.
- Deep understanding of machine learning and LLM concepts and algorithms.
- Strong technical coding skills in Python.
- Ability to explain complex technical concepts clearly to both technical and non-technical audiences.
- Contributions to open-source projects, particularly in the LLM space.
Summarised by NextRaise from the employer’s description, which follows in full below.
Full description from employer
About Mistral
Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms.
We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited.
The Role
As a Applied AI Engineer on the Applied AI team, you will bridge the gap between Mistral’s cutting-edge AI research and real-world enterprise applications. This role exists to ensure our solutions are robust, scalable, and aligned with both customer needs and Mistral’s technological vision.
The Applied AI team is Mistral’s customer-facing technical organization, working directly with enterprise clients from pre-sales through implementation. We combine deep machine learning expertise with strong customer engagement, operating like startup CTOs who own end-to-end project execution.
By joining this team, you will drive the adoption of Mistral’s products, helping customers deploy AI solutions that deliver measurable business impact across industries.
What You Will Do
Deploy production-ready AI use cases with significant business impact across diverse industries.
Develop state-of-the-art GenAI applications, from consumer products to industrial solutions, driving technological transformation for customers.
Collaborate with researchers, AI engineers, and product teams on complex customer projects involving fine-tuning, advanced LLM applications, and contributions to open-source codebases.
Participate in pre-sales calls to understand client needs, challenges, and aspirations, providing technical guidance on Mistral’s products.
Work with product and science teams to continuously improve model and product capabilities based on customer feedback.
What We're Looking For
Fluency in English.
Experience as a technical individual contributor (data scientist or software engineer) on AI-based products.
Proven track record in implementing AI or machine learning products with APIs, back-end, and front-end interfaces.
Hands-on experience with fine-tuning LLMs, advanced RAG, or agentic use cases.
Deep understanding of machine learning and LLM concepts and algorithms.
Strong technical coding skills in Python.
Ability to explain complex technical concepts clearly to both technical and non-technical audiences.
Contributions to open-source projects, particularly in the LLM space.
What We Offer
We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks.
For the most up-to-date details on benefits available in your location, please refer to our Benefits page.
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Company
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