Applied AI Software Engineer (Cybersecurity)

TL;DR

Applied AI Software Engineer (Cybersecurity): Building and productionizing cybersecurity product offerings with an accent on agentic security workflows and robust service architecture. Focus on orchestrating red-team/blue-team agent loops, developing scalable infrastructure, and integrating Mistral models into production-grade security services.

Location: Must be based in or able to work from Paris or London (Hybrid)

Company

hirify.global is a leading artificial intelligence company developing cutting-edge generative models and AI-powered solutions.

What you will do

• Productionize cyber harness and service prototypes into deployable solutions.
• Orchestrate red-team and blue-team agent loops for automated vulnerability testing and patching.
• Develop context engineering to enable autonomous security workflows.
• Build connectors, worker scaling mechanisms, and SDKs for production-grade services.
• Integrate cyber capabilities with Mistral corporate stack, including workflows and containerized infrastructure.
• Design engineering foundations to support client deployments and continuous model training.

Requirements

• Strong software engineering background with hands-on experience in cybersecurity products or tooling.
• Experience with agentic or LLM orchestration and context engineering.
• Proven track record of shipping production-quality code.
• Experience with distributed systems and service architecture.
• Proficiency with containers and Kubernetes for deployment and scaling.
• Strong problem-solving abilities and collaborative communication skills.

Nice to have

• Background in red-teaming, offensive tooling, or harness building.
• Experience with orchestration internals like Temporal or similar workflow engines.
• Prior experience building agent systems for cybersecurity use cases.
• Contributions to open-source security or orchestration tools.

Culture & Benefits

• Opportunity to shape the future of AI-powered cybersecurity at scale.
• Work on cutting-edge AI infrastructure and agentic workflows.
• Collaborative environment working alongside security and engineering experts.
• Exposure to high-impact, production-grade AI deployments.