AI Engineer (RAG, LLM, Python)

The PositionWe are building an AI-powered autonomous vulnerability management platform that goes beyond traditional scanning and reporting. Our vision shifts from reactive to predictive, providing a true endpoint-to-vulnerability visibility, and replacing human-intensive manual processes with intelligent AI agents.Join our team and help build the future of vulnerability management and cybersecurity automation.In this role, you will provide cybersecurity domain expertise to guide AI model development, validate autonomous security decisions, and ensure our platform meets enterprise security requirements. You will also bridge the gap between cutting-edge AI and practical cybersecurity operations. What You Will Be Doing:Design and implement multi-agent AI systems using frameworks like CrewAI, LangChain, AutoGen or similar.Develop predictive models (LSTM, transformers) for vulnerability exploitation forecasting.Build RAG (Retrieval Augmented Generation) pipelines for vulnerability intelligence synthesis.Fine-tune large language models on cybersecurity datasets with hundreds of thousands vulnerability identifiers (CVE).Implement vector databases for semantic vulnerability search.Create AI-powered autonomous patching agents with validation and rollback capabilities.Optimize model performance for both cloud and local deployment scenarios.Collaborate with security researchers to validate AI model outputs.