Applied AI Engineer, CyberSecurity at Mistral AI
May no longer be active — verify on the employer site
At a glance
- Company
- Mistral AI
- Location
- London, France
- Work arrangement
- On-site
- Employment type
- Full-time
- Experience
- 2–5 years
- Working hours
- 40 hours
- Visa sponsorship
- Offered, according to the listing
- Posted
- Added to The Stack
✨ The Stack take on this Mistral AI job
- 🏢 Mistral AI has 13 jobs here, 7 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 AI if it is above the minimum.
Updated 2026-11-06, from our data and official sources.
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About the role
Responsibilities:
- Compose and deploy red-team and blue-team agentic workflows for production security use-cases (cloud defence, vuln scanning, dynamic red-teaming).
- Configure and tune cyber harnesses and orchestrate multi-agent systems to solve client security requirements.
- Design context engineering and orchestration that enable agents to operate effectively in cybersecurity domains.
- Turn prototypes into client-facing services, ship iterations based on feedback, and validate real-world effectiveness with pentesters.
- Collaborate with SWE-Cyber and platform teams to ensure reliability, observability and maintainability of deployed services.
Requirements:
- Hands-on applied AI experience building agents, LLM orchestration, RAG systems and multi-agent orchestration.
- Practical understanding of cybersecurity concepts and tooling (red/blue teaming, vulnerability scanning, cloud defence) is strongly preferred.
- Proven ability to ship quickly, iterate from client feedback, and reuse internal components to deliver production services.
- Strong evaluation and benchmarking experience, problem-solving skills and effective communication with technical and non-technical stakeholders.
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 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
- Vulnerability Scanning — in 14 other listings on The Stack
- Penetration Testing — in 25 other listings on The Stack
- Evaluation and Benchmarking
- Cloud Defense
- Problem Solving
- Communication Skills
On The Stack (as of 2026-11-06)
Frequently asked questions about Mistral AI
Is this Applied AI Engineer, CyberSecurity role still open?
It was posted on 2026-06-08. Listings more than 30 days old may no longer be active, so check Mistral AI's site before applying.
Does Mistral AI offer visa sponsorship?
This listing is marked as offering visa sponsorship. Eligibility rules are set by the employer, so check the details on Mistral AI's site.
Where is this role located?
The listing gives the location as London, 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, Vulnerability Scanning, Penetration Testing, Evaluation and Benchmarking, Cloud Defense, Problem Solving, Communication Skills.