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Applied AI Engineer, CyberSecurity - Montreal

Mistral AIMontréalSolutions
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Salary
Not listed
Job type
Full-time
Posted
27 Jul 2026
Status
Open · checked 7d ago

About this role

Mistral AI is hiring an Applied AI Engineer in Montreal to build and deploy customer-facing cybersecurity agentic workflows. This full-time position suits an experienced AI professional with a strong bias for action who wants to solve complex security challenges using cutting-edge language models.

Role Overview

Mistral AI is seeking an Applied AI Engineer to join the Solutions team in Montréal. This role focuses on translating foundational cybersecurity harnesses into robust, client-ready agentic solutions. The engineer will bridge the gap between technical infrastructure and real-world deployment, building production-grade services that tackle critical security tasks.

Key Responsibilities

Compose red-team and blue-team agentic workflows for active production environments.
Configure security harnesses for cloud defense, vulnerability scanning, penetration testing, and dynamic red-teaming.
Translate complex security requirements from clients into practical agentic systems.
Design and implement advanced context engineering to support agents operating in cybersecurity domains.
Orchestrate multi-agent systems to handle intricate security workflows.
Ship software quickly, iterating continuously based on direct client feedback and operational performance.
Collaborate closely with pentesters to guarantee domain accuracy and partner with SWE-Cyber to align platform capabilities.

Requirements

Demonstrated hands-on background as an applied AI engineer building AI agents, LLM orchestration, context engineering, evaluations, and RAG systems.
Exceptional speed in shipping features with a strong bias toward delivery and action.
Ability to operate independently with a customer-led mindset and effectively reuse internal components.
Strong analytical problem-solving skills paired with meticulous attention to detail.
Excellent communication skills and a collaborative attitude.

Nice to Have

Practical knowledge of cybersecurity or penetration testing.
Experience constructing agentic harnesses or end-to-end multi-agent systems.
Background in conducting evaluations and benchmarking AI agent systems.
Familiarity with standard security tools or operational workflows.
Prior professional experience deploying production AI systems within regulated or high-stakes industries.
Proficiency in French, which is useful for supporting French-speaking client needs.

Skills and Tools

LLM (Large Language Models)
RAG (Retrieval-Augmented Generation)
AI Agent Orchestration
Context Engineering
Evaluation and Benchmarking Frameworks

About the Company

Mistral AI provides full-stack artificial intelligence solutions ranging from frontier models to developer tools, applications, and compute power. The company collaborates with enterprises tackling difficult challenges across high-stakes industries such as finance, manufacturing, defense, healthcare, and the public sector. Operating as a distributed, low-ego, and creative team across Europe, North America, Asia, and the Middle East, Mistral AI fosters a collaborative environment driven by innovation.

How to Apply

Interested candidates should visit the official Mistral AI careers page to submit an application and learn more about open opportunities.

Skills and tech stack

LLMRAG

Questions candidates ask

Where is the Applied AI Engineer position located?

This full-time role is based in Montréal, Canada, as part of Mistral AI's distributed team.

What is the primary focus of this role?

The engineer builds customer-facing cybersecurity services and agentic workflows on top of the company's cyber harnesses, turning prototype agents into deployed client solutions.

Is prior cybersecurity experience mandatory?

No, prior cyber context is not strictly required, though it is considered a strong plus. The company pairs engineers with internal pentesters to provide necessary domain depth.

What technical skills are required?

Candidates must have hands-on experience building AI agents, LLM orchestration, context engineering, evaluation systems, and RAG setups.

How should candidates apply for this job?

Applicants can submit their details and apply directly through the official Mistral AI careers website.

Ready to apply?

The application is on the official Mistral AI careers page.

Apply on company site