Evaluation Engineer, Applied AI

Mistral AI is hiring an Evaluation Engineer, Applied AI in Paris, France. Level rates it ; you can apply on Level.

Level's read on this job

Builds AI ●●●● is how Level rates this role: the job is building AI systems.
Tools and skills the posting cites include OpenAI, Hugging Face and PyTorch.
Level files it as a mid-level role.
Level lists 219 other open roles at Mistral AI.
The role was posted in the last few days.

AI in this role

openaihugging-facepytorch

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 an Evaluation Engineer on the Applied AI team, you will shape how enterprise customers measure and trust AI solutions. You will work closely with clients and internal stakeholders to deliver evaluation systems that define when an AI model is ready for real business impact. The team's mission is to ensure every project—no matter how ambitious—moves from idea to production with clarity and accountability. Your work will sit at the intersection of research, engineering, and solutions, directly influencing how models are improved and deployed across varied domains.

What You Will Do

Design and implement comprehensive frameworks to evaluate large language model (LLM) performance across customer use cases
Build and maintain scalable evaluation infrastructure and pipelines for rapid, reproducible assessment
Develop new evaluation methods for sector-specific or emerging model capabilities
Collaborate with customers to create custom evaluation suites that fit their unique needs and criteria
Partner with research teams to turn evaluation insights into actionable model improvements
Work with product teams to refine evaluation tooling based on user feedback
Define and communicate clear success metrics for "production-ready" AI models

What We're Looking For

At least 3 years of experience evaluating ML, LLM, or agentic systems
Proven background in implementing AI or machine learning products, especially with APIs or back-end systems
Strong Python coding skills
Deep understanding of machine learning concepts and algorithms, especially as they pertain to LLMs
Experience communicating technical topics clearly to both technical and non-technical audiences
Familiarity with evaluation frameworks like LM Eval Harness or OpenAI Evals, or contributions to related open-source projects
Experience working with ML libraries (e.g., PyTorch, HuggingFace Transformers)
Collaborative, direct communicator who values outcomes and low-ego teamwork

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.

Privacy Policy

Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy.

How we rate this

Evaluation Engineer, Applied AI at Mistral AI rates 95 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

Key facts

Evaluation Engineer, Applied AI is an open job at Mistral AI.
Level rates this role AI Level 4 of 4: Builds AI.
The role is based in Paris.
The job was posted on October 19, 2026.
Seniority: mid.
Applications are handled by Mistral AI. Apply on Mistral AI

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

OpenAIHugging FacePyTorch

Questions you could be asked

What's a project where you used OpenAI hands-on?
Walk me through how you've used Hugging Face in your day-to-day work.
What are the limits of PyTorch that you've run into, and how did you work around them?
How would you decide a model or AI system is ready to ship?
Tell me about a time a model underperformed in production. How did you find out, and what did you change?

Adapt your resume

List these exact terms on your resume: OpenAI, Hugging Face, and PyTorch. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.

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