Mistral AI · Paris

Applied AI, Evaluation Engineer

1/21/2026

Description

 
- Design and implement comprehensive evaluation frameworks to measure LLM capabilities across diverse customer use cases, including text generation, reasoning, code, and domain-specific applications
- Build scalable evaluation infrastructure and pipelines that enable rapid, reproducible assessment of model performance
- Develop novel evaluation methodologies to assess emerging capabilities or verticalized use cases (cybersecurity, finance, healthcare, etc.) and enable the Solutions (Deployment Strategist and Applied AI) on these topics.
- Create custom evaluation suites tailored to enterprise customers' specific needs, working closely with them to understand their requirements and success criteria
- Collaborate with research teams to translate evaluation insights into model improvements and training decisions
- Partner with product teams to continuously improve our evaluation tooling based on customer feedback
 
How We Work in Applied AI
 
- We care about people and outputs.
- What matters is what you ship, not the time you spend on it
- Bureaucracy is where urgency goes to vanish. You talk to whoever you need to talk to. The best idea wins, whether it comes from a principal engineer or someone in their first week.
- Always ask why. The best solutions come from deep understanding, not from copying what worked before
- We say what we mean. Feedback is direct, timely, and given because we care.
- No politics. Low ego, high standards.
- We embrace an unstructured environment and find joy in it.
 

Qualifications

 
- You are fluent in English
- 3+ years of experience in ML evaluation, benchmarking for LLM or agentic systems
- You have proven experience in AI or machine learning product implementation with APIs, back-end
- You have deep understanding of concepts and algorithms underlying machine learning and LLMs
- You have strong technical coding skills in Python
- You hold strong communication skills with an ability to explain complex technical concepts in simple terms with technical and non-technical audiences
 
Ideally you have:
 
- Contributions to open-source evaluation frameworks (e.g., LM Eval Harness, OpenAI Evals) or published research on LLM evaluation
- Experience as a Customer Engineer, Forward Deployed Engineer, Sales Engineer, Solutions Architect or Technical Product Manager
- Experience with ML frameworks (PyTorch, HuggingFace Transformers)
 

Benefits

 
🏝️ PTO: The CDI contract will be a "Forfait 218 jours", corresponding to 25 days of holidays and on average 8 to 10 days of RTT days, and complete autonomy on working hours
⚕️ Health : Full health insurance coverage for you and your family
🚗 Transportation : We offer a €600 annual mobility allowance. This package covers 50% of your public transportation costs and includes the Sustainable Mobility Allowance (FMD), encouraging eco-friendly travel options such as cycling or carpooling.
🥕 Food : Swile meal vouchers with 10,83€ per worked day, incl 60% offered by company
🏀 Sport : Gymlib - sponsorship by Mistral of a significant part of the monthly fee (depending on the program you chose)
🐤 Parental policy : 4 additional weeks for parents on top of what is offered by the French state.
 
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Application

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