Job Specifications
About Mistral
At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life.
We democratize AI through high-performance, optimized, open-source and cutting-edge models, products and solutions. Our comprehensive AI platform is designed to meet enterprise needs, whether on-premises or in cloud environments. Our offerings include le Chat, the AI assistant for life and work.
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 France, USA, UK, Germany and Singapore. We are creative, low-ego and team-spirited.
Join us to be part of a pioneering company shaping the future of AI. Together, we can make a meaningful impact. See more about our culture on https://mistral.ai/careers.
Role summary
Embedded directly in the product Team, you will build the evaluation and A/B testing framework, add end-to-end observability, and run a reliable model release process. Work with Science to ship measurable improvements to quality, latency, safety, and reliability
What you will do
Build and maintain an LLM evaluation framework (reference tests, heuristics, model-graded checks)
Define and track metrics: task success, helpfulness, hallucination proxies, safety flags, latency/cost
Run A/B tests for prompts, models, and system prompts, analyze results, recommend rollout or rollback
Set up observability for LLM calls: structured logging, tracing, dashboards, alerts
Operate the model release: canary and shadow traffic, sign-offs, SLO-based rollback criteria, regression detection
Improve core behaviors: memory write/retrieve policies and evals, intent classification, follow-ups, routing, tool-call reliability
Create templates and docs so other teams can author evals and ship safely
Partner with Science, diagnose regressions and lead post-mortems
About You
Strong TypeScript or Python skills
Production LLM experience: prompts, tool/function calling, and system prompts
Hands-on with evals and A/B testing, you can design metrics and make rollout decisions from data
Observability: logging, tracing, dashboards, alerting
Product mindset: form hypotheses, run experiments, interpret results, iterate
Clear written and spoken communication, autonomous; and product-oriented
Now it would be ideal if you have experience with
Safety systems: moderation, PII handling/redaction, guardrails
Release operations: canary/shadowing, automated rollbacks, experiment platforms
Hiring Process
Introduction call - 30 min
Hiring Manager interview - 30 min
Technical Rounds
Live-coding Interview - 45 min
AI Engineering Interview - 45 min
Culture-fit discussion - 30 min
References
Location & Remote
This role is primarily based at one of our European offices (Paris, France and London, UK). We will prioritize candidates who either reside in Paris or are open to relocating. We strongly believe in the value of in-person collaboration to foster strong relationships and seamless communication within our team.
In certain specific situations, we will also consider remote candidates based in one of the countries listed in this job posting — currently France, UK, Germany, Belgium, Netherlands, Spain and Italy. In that case, we ask all new hires to visit our Paris office:
for the first week of their onboarding (accommodation and travelling covered)
then at least 3 days per month
What we offer
Competitive salary and equity
Health insurance
Transportation allowance
Sport allowance
Meal vouchers
Private pension plan
Parental : Generous parental leave policy
Visa sponsorship
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.