# Applied AI Engineer, CyberSecurity

**Company**: Mistral AI
**Location**: Paris, France
**Work arrangement**: hybrid
**Experience**: mid
**Job type**: full-time
**Salary**: Competitive salary and equity
**Category**: Engineering
**Industry**: Technology
**Wikidata**: https://www.wikidata.org/wiki/Q119718658

**Apply**: https://jobs.lever.co/mistral/98e6a2ea-7049-4c8d-88b7-c9d824eea6f1?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_d08daa36-b4e

## Description

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.

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

## Skills

### Required
- applied AI engineer
- agent building
- LLM orchestration
- context engineering
- evals
- RAG systems
- cybersecurity
- cloud defense
- vulnerability scanning
- dynamic red-teaming
- penetration testing

### Nice to 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

---

Source: [Apply at jobs.lever.co](https://jobs.lever.co/mistral/98e6a2ea-7049-4c8d-88b7-c9d824eea6f1?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)