Applied AI, Use-case, Software Engineer (Harness)
Remote • Paris • Full-time
Posted 2mo ago
Job Location
Paris
Tech Stack
Remote Work Policy
Fully remote
Employment Type
Full-time
Categories
Applied AI Engineer
About the job
Mistral AI is seeking strong Software Engineers with cybersecurity experience to build and productionize their cybersecurity product offering. This role involves turning cutting-edge prototypes into robust, scalable services that power both offensive and defensive security capabilities. The work will directly enable the deployment of AI-powered cybersecurity at client sites and provide the infrastructure for continuous training and improvement. This is a unique opportunity to shape how AI-powered cybersecurity operates at scale within a dynamic, collaborative team passionate about AI's potential.
Responsibilities
- Build and productionize the cyber harness and service prototype, turning research into deployable solutions.
- Orchestrate red-team / blue-team agent loops, including vulnerability finding, patching, redeployment, and re-testing.
- Develop context engineering to enable autonomous security workflows.
- Create connectors, worker scaling mechanisms, SDKs, and packaging to transform demos into production-grade services.
- Build on Mistral's corporate stack, including 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 the production infrastructure.
- Design and implement the engineering foundation for client deployments.
- Create the infrastructure for continuous improvement through training.
- Ensure the cyber harness is robust, scalable, and maintainable.
- Collaborate with security and engineering teams to integrate cyber capabilities.
Requirements
- Strong software engineering background with hands-on experience building cybersecurity products or tooling.
- Comfortable with agentic / LLM orchestration and context engineering.
- Proven ability to ship production-quality code.
- Experience with distributed systems and service architecture.
- Strong problem-solving abilities and attention to detail.
- Excellent communication skills and a collaborative attitude.
- Experience with containers and Kubernetes.
- Experience with AI/ML systems in security contexts.