Applied AI Engineer, CyberSecurity at Mistral

✨ The Stack take on this Mistral job

• 🏢 Mistral has 25 jobs here, 25 with visa sponsorship see all
• 🛂 Visa: Talent passport. EU Blue Card salary: €59,373 a year (1.5 times the average salary) guide
• 💡 No salary shown. Ask Mistral if it is above the minimum.

Updated 2026-11-05, from our data and official sources.

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About the role

Responsibilities:
- Design and compose red-team and blue-team agentic workflows for real client use-cases (dynamic red-teaming, cloud defense, vulnerability scanning, pen tests).
- Configure and extend cyber harnesses to convert prototypes into reliable, deployable services.
- Translate client security requirements into agentic solutions and ship production-facing features.
- Implement context engineering to provide agents with the right data, prompts and state for cybersecurity tasks.
- Orchestrate multi-agent systems and agent workflows, and integrate with evaluation/benchmarking pipelines.
- Collaborate closely with pentesters, platform engineers, and product teams to iterate on solutions and deliver value to clients.

Requirements:
- 2–5 years experience as an applied AI engineer, machine learning engineer, or similar role with hands-on LLM orchestration.
- Practical experience with RAG, agent frameworks, multi-agent orchestration and context engineering.
- Familiarity with cybersecurity concepts (red/blue teaming, vulnerability scanning, pen testing) or strong aptitude to learn them quickly.
- Proficiency in scripting (Python preferred), containerization, and deploying services in cloud environments.
- Customer-focused mindset with strong communication and problem-solving skills to turn prototypes into production services.
- Comfortable iterating quickly and collaborating across research, security, and product teams.

Responsibilities

Build customer-facing cybersecurity services by composing red-team and blue-team agentic workflows. Bridge the gap between foundational cyber harnesses and deployed agentic solutions to solve real-world security problems for clients.

Requirements

Requires a strong applied AI engineer with hands-on experience in LLM orchestration, RAG, and building agents. While cybersecurity context is a plus, a bias toward fast delivery and a customer-led mindset are essential.

Key skills

• LLM Orchestration — in 8 other listings on The Stack
• Context Engineering — in 12 other listings on The Stack
• RAG Systems — in 5 other listings on The Stack
• Agentic Workflows — in 25 other listings on The Stack
• Cybersecurity — in 20 other listings on The Stack
• Multi-agent Systems — in 4 other listings on The Stack
• Evaluation and Benchmarking — in 1 other listing on The Stack
• Penetration Testing — in 25 other listings on The Stack
• Cloud Defense
• Vulnerability Scanning
• Problem Solving
• Communication Skills

On The Stack (as of 2026-11-05)

• Mistral has 24 other listings on The Stack, 24 of them marked as offering visa sponsorship.
• 28 visa-sponsored jobs in France on The Stack, posted in the last 60 days.
• 18 visa-sponsored ai engineer jobs in Europe on The Stack, posted in the last 60 days.

Frequently asked questions about Mistral

Is this Applied AI Engineer, CyberSecurity role still open?

It was posted on 2026-06-10. Listings more than 30 days old may no longer be active, so check Mistral's site before applying.

Does Mistral offer visa sponsorship?

This listing is marked as offering visa sponsorship. Eligibility rules are set by the employer, so check the details on Mistral's site.

Where is this role located?

The listing gives the location as France. It is marked on-site.

What skills does this role ask for?

The listing names: LLM Orchestration, Context Engineering, RAG Systems, Agentic Workflows, Cybersecurity, Multi-agent Systems, Evaluation and Benchmarking, Penetration Testing, Cloud Defense, Vulnerability Scanning, Problem Solving, Communication Skills.