Senior AI Engineer (Cybersecurity)

TL;DR

Senior AI Engineer (Cybersecurity): Designing, building, and scaling next-generation AI systems for cybersecurity use cases with an accent on production-grade LLMs and agent-based architectures. Focus on optimizing large-scale AI systems, implementing multi-agent workflows, and integrating AI capabilities into core security products.

Location: Tel Aviv

Company

hirify.global provides a multi-layered AI cybersecurity platform that protects nations and critical infrastructure using proprietary Cyber Language Models.

What you will do

• Design and own end-to-end AI solutions from data collection and preprocessing to production deployment.
• Build and scale AI systems for Posture, Detection, and CTI cybersecurity use cases.
• Develop production-grade systems leveraging LLMs, generative AI, and advanced multi-agent workflows.
• Optimize AI systems for performance, scalability, and reliability in production environments.
• Collaborate with product, design, and engineering teams to deliver AI-driven capabilities that address customer needs.
• Contribute to backend systems and data pipelines supporting large-scale AI applications.

Requirements

• 5+ years of experience in backend or AI engineering with strong Python coding skills.
• Proven experience building and deploying production-grade AI/ML systems.
• Strong software engineering fundamentals, including data structures, algorithms, and system design.
• Experience with distributed systems, microservices, and cloud platforms (AWS, GCP, or Azure).
• Hands-on experience with LLMs, prompt engineering, and orchestration tools like LangChain or CrewAI.
• Strong debugging and problem-solving skills with an ownership mindset.

Nice to have

• Experience with ML frameworks such as PyTorch or TensorFlow.
• Knowledge of MLOps tools and practices (MLflow, Kubeflow, CI/CD for ML).
• Background in NLP, LLM optimization, or agent-based systems in production.
• Experience with large-scale data pipelines and NoSQL databases.
• Contributions to open-source projects or research publications.

Culture & Benefits

• Opportunity to tackle real-world challenges protecting critical national infrastructure.
• Work within a passionate and innovative R&D environment.
• Focus on driving AI innovation and establishing engineering best practices across the domain.
• A growth-oriented culture that encourages breaking glass ceilings.