---
title: 'Applied AI Engineer, CyberSecurity at Mistral'
canonical: 'https://feeny.ai/job/applied-ai-engineer-cybersecurity-mistral-paris-fjpbjsg5bss5'
type: 'job'
last_seen: '2026-09-06'
---

# Applied AI Engineer, CyberSecurity at Mistral

- **Company:** [Mistral](https://feeny.ai/companies/mistral)
- **Location:** Paris, France
- **Employment:** full-time
- **Posted:** 2026-07-09
- **Last confirmed live:** 2026-09-06
- **Apply:** https://jobs.ashbyhq.com/mistral.ai/647be1ec-19d1-421c-9c49-6bbf12c0c93a

## Job description

## 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.

## Role summary

We are seeking an Applied AI Engineer to build the customer-facing cyber service and use-cases on top of our cyber harnesses. You will turn "we have agents" into "we shipped something a client uses." This role is about composing red-team/blue-team agentic workflows, configuring harnesses for real-world scenarios, and delivering value directly to clients.

Your work will bridge the gap between our foundational cyber harnesses and the agentic solutions that clients deploy. While SWE-Cyber makes the platform robust and scalable, and Pentesters run the solution and guide the direction, you will focus on building the agentic use-cases and client-facing service that solve real security problems.

## What you will do

Client-Facing Agentic Solutions

- Compose red-team / blue-team agentic workflows for production use-cases
- Configure harnesses for cloud defense, vulnerability scanning, dynamic red-teaming, and penetration testing scenarios
- Work directly on client use-cases, translating security requirements into agentic solutions
- Turn prototype agents into deployed services that clients rely on

Context Engineering & Orchestration

- Design and implement context engineering that enables agents to operate effectively in cybersecurity domains
- Orchestrate multi-agent systems for complex security workflows
- Build the agentic layer that sits between the harness and the client

Service Delivery

- Ship fast and iterate based on client feedback and real-world performance
- Operate independently while leveraging internal building blocks and frameworks
- Collaborate with pentesters to ensure domain accuracy and effectiveness
- Partner with SWE-Cyber to ensure the platform supports your use-case requirements

## About you

- Strong applied AI engineer with hands-on experience building agents, LLM orchestration, context engineering, evals, and RAG systems
- You ship fast, with a bias toward action and delivery
- Operate independently with a customer-led mindset
- Able to reuse internal components and bricks effectively
- Some cyber context is a real plus, but not mandatory - we can pair you with pentesters for domain depth
- Strong problem-solving abilities and attention to detail
- Excellent communication skills and collaborative attitude

It would be ideal if you also have:

- Genuine cyber or pentest knowledge
- Experience building agentic harnesses or multi-agent systems end-to-end
- Strong background in evals and benchmarking of agent systems
- Experience with security tooling or workflows
- Prior work on production AI systems in regulated or high-stakes environments

## 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 https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link.

## PRIVACY POLICY

Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

## About Mistral

## Company Overview
- **One-liner**: Mistral is a French AI company building open, frontier-grade large language models, developer platforms, and applied AI solutions for enterprises and governments.
- **Entity Type**: Private (Series C)
- **Headquarters**: Paris, France (15 rue des Halles)
- **Founded**: April 2023
- **Founders**: Arthur Mensch (CEO), Guillaume Lample (Chief Science Officer), Timothée Lacroix (CTO)

## Core Business
- **Primary industry/industries**: Artificial Intelligence, Large Language Models, Enterprise AI Software
- **Target customers**: B2B, Enterprise, Government, and Developers (B2D)
- **Mission or purpose statement**: "To make frontier AI open to all, and together solve the world's hardest problems."

## Products & Services
- **Mistral Large**: Frontier-grade large language model for complex reasoning and enterprise tasks.
- **Mistral Small 3**: Efficient, lightweight model for cost-sensitive deployments.
- **Mistral Code / Vibe**: AI agent for long-horizon, autonomous software development and task completion.
- **Le Chat**: Consumer-facing AI assistant and chatbot.
- **Mistral OCR 4**: State-of-the-art document intelligence model for extracting and understanding text from images and PDFs.
- **Mistral Forge**: Custom model development service for training, aligning, and evaluating proprietary AI models on private data.
- **Mistral Studio**: Platform for building, testing, and running AI agents and applications with full control.
- **Mistral Compute**: Infrastructure and orchestration platform for frontier-scale training and inference (edge to cloud).
- **Mistral Search Toolkit**: Tools for integrating search and retrieval into AI applications.
- **Voxtral**: Voice AI model for speech-based interactions.

## Market Standing
- **Valuation/Market Cap**: $4.016 billion (latest reported valuation, per CB Insights; date not specified but likely post-Series C)
- **Key Metric**: Total funding raised across Seed, Series A, Series B, and Series C rounds (specific amounts not disclosed in search results).
- **Notable Investors/Partners**: Not explicitly named in search results, but the company partners with organizations in finance, manufacturing, defense, energy, and the public sector.
- **Growth Signals**: 
  - Rapid scaling: 900+ employees across 30+ nationalities as of mid-2026.
  - 50% of leadership roles held by women.
  - Key product launches on a near-monthly cadence (e.g., Mistral OCR, Forge, Vibe, Compute, Search Toolkit, Voxtral).
  - Strong presence in high-stakes, regulated industries (defense, energy, public sector).

## Competitive Advantages
- **Open-source DNA**: Commitment to openness, transparency, and cost efficiency differentiates Mistral from closed, Big Tech AI labs.
- **Full-stack ownership**: Controls the entire stack from frontier models to developer tools, applications, and compute infrastructure, enabling deep customization and reliability.
- **European leadership**: Positioned as a sovereign, European AI champion, appealing to governments and enterprises seeking data control and regulatory compliance.
- **Speed and rigor**: Culture of rapid experimentation, iteration, and data-driven decision-making.

## Strategic Focus
- **Enterprise and government partnerships**: Co-creating tailored AI systems for mission-critical use cases in finance, manufacturing, defense, energy, and public sector.
- **Open platform ecosystem**: Expanding Mistral Studio and Forge to enable customers to build custom models and agents on their own data.
- **Infrastructure as a product**: Commercializing Mistral Compute to become a platform for others to train and run AI workloads.
- **Continuous model innovation**: Releasing new frontier models and capabilities (OCR, voice, code agents) at a rapid pace.

## Why Work Here
- **Culture**: Flat structure, high ownership, low ego, and a "builders, not order takers" mentality. The company values audacity, speed, rigor, and customer centricity.
- **Remote/Hybrid/Office**: Based in Paris (15 rue des Halles); relocation support and visa sponsorship offered. Specific remote/hybrid policy not detailed, but global team suggests flexibility.
- **Notable perks and benefits** (from careers page):
  - 20 weeks paid parental leave for all birthing parents.
  - 100% employer-sponsored medical, dental, and vision coverage for employees and dependents.
  - 6% 401k match (US) / 5% pension contribution (UK).
  - Childcare support (reserved daycare seats or financial assistance).
  - Meal allowances and transportation support.
  - Fitness and wellness subsidies.
  - Relocation and settling-in services.
  - Financial and career planning support.
- **Team composition**: 900+ employees from 30+ nationalities; 50% female leaders.
- **Interview process**: For science, product, and engineering roles: intro conversation → 2-5 technical exercises → 1-3 interviews (hiring manager + teammates) → values conversation → reference checks.

## Sources
1. [Mistral AI - About Page](https://mistral.ai/about/)
2. [Mistral AI - Careers Page](https://mistral.ai/careers/)
3. [Mistral AI - Homepage](https://mistral.ai/)
4. [CB Insights - Mistral AI Company Profile](https://www.cbinsights.com/company/mistral-ai)
5. [Mistral AI - LinkedIn](https://www.linkedin.com/company/mistralai)

## Other roles at Mistral

- [Partnership Development Manager GSI DACH](https://feeny.ai/job/partnership-development-manager-gsi-dach-mistral-munich-tc1nyn35je06) — Munich, Germany
- [Reseach Engineer, Full Stack](https://feeny.ai/job/reseach-engineer-full-stack-mistral-palo-alto-em0x4tqd599e) — Palo Alto, CA
- [AI Scientist - Physics Models](https://feeny.ai/job/ai-scientist-physics-models-mistral-paris-nczvzn6411p2) — Paris, France
- [AI Scientist - Agentic Engineering](https://feeny.ai/job/ai-scientist-agentic-engineering-mistral-paris-vnpqnmhgxgmc) — Paris, France
- [Engineering Team Lead, Mistral Cloud](https://feeny.ai/job/engineering-team-lead-mistral-cloud-mistral-paris-9gb48mbqamc8) — Paris, France
- [Research Engineer, Forge](https://feeny.ai/job/research-engineer-forge-mistral-paris-asefppy5fxzc) — Paris, France
- [Customer Success, North America](https://feeny.ai/job/customer-success-north-america-mistral-new-york-2b2yrzajm1pw) — New York, NY
- [AI Developer Relations Engineer](https://feeny.ai/job/ai-developer-relations-engineer-mistral-san-francisco-e0v3rpkyx40a) — San Francisco, CA
- [Research Engineer, ML Platform](https://feeny.ai/job/research-engineer-ml-platform-mistral-palo-alto-znvgpkdp419r) — Palo Alto, CA
- [Engineering Team Lead, Backend](https://feeny.ai/job/engineering-team-lead-backend-mistral-paris-zycgqy241z1e) — Paris, France