Applied AI Engineer, Australia
Mistral AI2 days ago
Sydney, AustraliaSenior
Responsibilities
- Deploy production-ready AI use cases with significant business impact across diverse industries.
- Develop GenAI applications for consumer and industrial solutions.
- Collaborate on customer projects involving LLM fine-tuning, advanced LLM applications, and open-source contributions.
- Participate in pre-sales calls and provide technical guidance on Mistral’s products.
- Work with product and science teams to improve model and product capabilities based on customer feedback.
- Own end-to-end project execution from pre-sales through implementation.
Requirements
- Fluency in English.
- Experience as a technical individual contributor, such as a data scientist or software engineer, on AI-based products.
- Proven experience implementing AI or machine learning products with APIs, back-end, and front-end interfaces.
- Hands-on experience with LLM fine-tuning, advanced RAG, or agentic use cases.
- Deep understanding of machine learning and LLM concepts and algorithms.
- Strong coding skills in Python.
- Ability to explain complex technical concepts clearly to technical and non-technical audiences.
- Contributions to open-source projects, particularly in the LLM space.
Benefits
- Benefits may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal allowances, transportation allowances, and other location-specific perks.
- Benefits vary by country and applicants should refer to the company’s Benefits page for current location-specific details.
Tech Stack
Categories
Solutions Engineering
About Mistral AI
Mistral AI builds foundation language models and full‑stack AI solutions for enterprises, offering APIs, on‑prem deployment, developer tools, and applications. The privately held company, founded in 2023 and headquartered in Paris, partners with organizations in finance, manufacturing, defense, healthcare, and the public sector to co‑create customized systems. It releases open‑source models alongside commercial offerings and makes its models available through major cloud marketplaces.