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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Applied AI, Use-case, Software Engineer (Harness) - **Company:** Mistral AI - **Location:** Paris, France - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Cyber Security, Distributed Systems, Open Source Technology, Large Language Models, Kubernetes, Production Code, Machine Learning Operations - **Published:** July 24, 2026 - **Apply:** https://fr.indeed.com/viewjob?jk=f3c584dbc1c1660d ## About the Role * Strong software engineer with hands-on experience building cybersecurity products or tooling * Comfortable with agentic / LLM orchestration and context engineering * Builder mindset with a track record of shipping production-quality code * Experience with distributed systems and service architecture * Strong problem-solving abilities and attention to detail * Excellent communication skills and collaborative attitude It would be ideal if you also have: * Red-teaming, offensive-tooling, or harness-building background * Experience with orchestration internals (Temporal, Workflows, or similar) * Prior experience building a "harness for X/Y use case in cybersecurity" or similar agent system * Infrastructure knowledge: containers & Kubernetes to move fast * Experience with AI/ML systems in security contexts * Contributions to open-source security or orchestration tools ## Description We are seeking strong Software Engineers with cybersecurity experience to build and productionize our cybersecurity product offering. You will turn cutting-edge prototypes into robust, scalable services that power both our offensive and defensive security capabilities. Your work will directly enable Applied to deploy at client sites while giving Science the infrastructure to train against. You'll orchestrate red-team/blue-team agent loops, build on Mistral's corporate stack, and create the connectors, worker scaling, and SDKs that transform demos into production-grade services. This is a unique opportunity to shape how AI-powered cybersecurity operates at scale. What You Will Do Cyber Harness Productionization * Build and productionize the cyber harness and service prototype, turning research into deployable solutions * Orchestrate red-team / blue-team agent loops: find vuln patch redeploy re-test * Develop the context engineering that enables autonomous security workflows * Create connectors, worker scaling mechanisms, SDKs, and packaging that make demos into services Mistral Stack Integration * Build on Mistral's corporate stack: Workflows (temporal-style orchestrator) and Vibe * Work with containers/Kubernetes to deploy and scale cyber capabilities * Leverage Mistral Models to power agentic security workflows * Migrate existing prototypes onto our production infrastructure Service Engineering * Design and implement the engineering foundation that enables Applied to deploy at clients * Create the infrastructure Science can train against for continuous improvement * Ensure the cyber harness is robust, scalable, and maintainable * Collaborate with security and engineering teams to integrate cyber capabilities ## Related Videos - [Agentic AI: building autonomous systems for developers](https://www.wearedevelopers.com/videos/100034-agentic-ai-building-autonomous-systems-for-developers) - [Understanding Kubernetes in a visual way](https://www.wearedevelopers.com/videos/100085-understanding-kubernetes-in-a-visual-way) - [Thinking Differently - How to Make Money from Cyber Attacks & Cheats](https://www.wearedevelopers.com/videos/745-thinking-differently-how-to-make-money-from-cyber-attacks-cheats) - [Designing the Future of Human<>Agent Collaboration](https://www.wearedevelopers.com/videos/1447-designing-the-future-of-human-agent-collaboration) - [Agentic employees in world's most downloaded FinTech app](https://www.wearedevelopers.com/videos/100123-agentic-employees-in-world-s-most-downloaded-fintech-app) - [Instant KAI Sandboxes with vCluster: Multi-Tenant, Multi-Scheduler GPU Sharing](https://www.wearedevelopers.com/videos/100333-instant-kai-sandboxes-with-vcluster-multi-tenant-multi-scheduler-gpu-sharing) ## Related Articles - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it) - [Dev Digest 137 - AI'm not sure about this](https://www.wearedevelopers.com/magazine/485-dev-digest-137-ai-m-not-sure-about-this) - [From Prototype to Production: Build AI Agents with This Free 4-Course Learning Path](https://www.wearedevelopers.com/magazine/655-from-prototype-to-production-build-ai-agents-with-this-free-4-course-learning-path)