At a Glance
- Tasks: Define and measure how AI models interact with tools and orchestrate workflows.
- Company: Join Mistral, a dynamic team passionate about transforming society with AI.
- Benefits: Comprehensive benefits package including healthcare, wellness programs, and work-life balance support.
- Other info: Thriving in a collaborative, innovative environment with global teams.
- Why this job: Make a real impact on AI capabilities and solve complex, real-world problems.
- Qualifications: Deep understanding of API design and experience with LLM agents required.
The predicted salary is between 56700 - 69300 £ per year.
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 Model Behaviour Architect on the General Agents team, you will define and measure how large language models interact with tools, invoke functions, and orchestrate complex workflows. This role exists to ensure our models excel at accurate, reliable, and intelligent tool use, from precise parameter selection to multi-step orchestration and error recovery. You will collaborate closely with our Science team to shape what 'good' looks like for function calling, turning research insights into best-in-class model behaviour. Your work will directly impact the capabilities of Mistral’s models, enabling them to solve real-world problems with greater autonomy and precision.
What You Will Do
- Interact with models to identify opportunities for improving function calling and tool use behaviour.
- Gather internal and external feedback to scope and prioritise areas for enhancement.
- Design and implement evaluations, data guidelines, and synthetic tool environments and APIs.
- Address edge cases such as malformed arguments, hallucinated functions, and incorrect tool selection through rigorous testing.
- Develop robust evaluation pipelines to assess the function-calling capabilities of model candidates.
- Collaborate with AI Scientists to align model behaviour with research insights and real-world needs.
What We're Looking For
- Deep understanding of API design, structured outputs, and schema specification (e.g., JSON Schema), or expertise in engineering and code behaviour, or experience with LLM agents, including reasoning, planning, and multi-step tool use.
- Prior knowledge in training and optimising model behaviour for real-world applications.
- Expertise in building robust, scalable evaluation frameworks for AI systems.
- Ability to thrive in dynamic, technically complex environments and deliver innovative solutions.
- Track record of solving open-ended challenges with creative, out-of-the-box approaches.
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.
Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy.
Model Behaviour Architect, General Agents in London employer: Mistral AI
Mistral AI is an exceptional employer, offering a dynamic work environment in Greater London where innovation meets collaboration. With competitive salaries, equity options, and comprehensive health benefits, we prioritise employee well-being and growth, fostering a culture that encourages continuous learning and development in the exciting field of multilingual AI research.
StudySmarter Expert Advice🤫
We think this is how you could land Model Behaviour Architect, General Agents in London
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We think you need these skills to ace Model Behaviour Architect, General Agents in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Mistral AI, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Mistral AI. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Mistral AI
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Mistral AI!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
